CN103093413A - Writing and reading method and writing and reading device of remote sensing image data - Google Patents
Writing and reading method and writing and reading device of remote sensing image data Download PDFInfo
- Publication number
- CN103093413A CN103093413A CN2013100131164A CN201310013116A CN103093413A CN 103093413 A CN103093413 A CN 103093413A CN 2013100131164 A CN2013100131164 A CN 2013100131164A CN 201310013116 A CN201310013116 A CN 201310013116A CN 103093413 A CN103093413 A CN 103093413A
- Authority
- CN
- China
- Prior art keywords
- image data
- remote sensing
- sensing image
- fixed block
- sign
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Image Analysis (AREA)
- Facsimile Image Signal Circuits (AREA)
- Color Image Communication Systems (AREA)
Abstract
The invention provides a writing and reading method and a writing reading device of remoter sending image data. The writing method of the remoter sending image data includes the following steps of obtaining primitive remote sensing image data, dividing the primitive remote sensing image data into fixed blocks according to the preset size, obtaining color component values of pixel units of fixed blocks, recording the color component values of the pixel units of the fixed blocks with one bit, distributing a first identification mark aiming at the fixed blocks, recording the color component values of the pixel units of the fixed blocks with two bits, distributing a second identification mark aiming at the fixed blocks, recording the color component values of the pixel units of the fixed blocks with four bits, distributing a third identification mark aiming at the fixed blocks, recording the color component values of the pixel units of the fixed blocks with eight bits, and distributing a fourth identification mark aiming at the fixed blocks. The writing and reading method and the writing reading device of the remoter sending image data can reduce utilization cost of remote sensing image data, save storage space of raster data and improve transmission and processing efficiency of the raster data.
Description
Technical field
The present invention relates to field of space technology, particularly relate to the method and apparatus that a kind of remote sensing image data writes and reads.
Background technology
Remote sensing image is the information carrier that a kind ofly has high power capacity, high reliability, obtains the convenient characteristics such as timely, all plays irreplaceable effect at traffic administration, the reallocation of land, military affairs, resource, environment and a lot of fields such as take precautions against natural calamities.The development of the continuous expansion in remote sensing application field and satellite technology, sensor technology, people can obtain rapidly the high-resolution remote sensing image of shooting in real time, make the information of obtaining more timely, accurate, one of consequent spinoff is that the data volume of remote sensing image is very large and increase with geometric ways, often reaches even PB magnitude of TB magnitude in application.As time goes on, the data volume of remote sensing image also will increase continuously and healthily.
Therefore, one of problem that those skilled in the art are in the urgent need to address is, a kind of method and apparatus is proposed, can effectively store and use the remote sensing image data of magnanimity, reduce the remote sensing image data use cost, when carrying out the raster data backup, can store same information with resource still less, take full advantage of storage space, improve transmission and the treatment effeciency of raster data.
Summary of the invention
Technical matters to be solved by this invention is to provide the method and apparatus that a kind of remote sensing image data writes and reads, can effectively store and use the remote sensing image data of magnanimity, reduce the remote sensing image data use cost, save the storage space of raster data, improve transmission and the treatment effeciency of raster data.
In order to address the above problem, the invention discloses a kind of method that remote sensing image data writes, described original remote sensing image data comprise M*N pixel unit, and described M is row, and N is row; Wherein, described pixel unit comprises K color component, and described K is greater than 1, and described method comprises:
Preferably, described fixedly block size is a*b pixel unit, and described a is row, and b is row; Described step 102 comprises:
When the aliquant a of M, the line number of replenishing corresponding pixel unit makes M aliquot a;
When the aliquant b of N, the columns that replenishes corresponding pixel unit makes N aliquot b.
Preferably, the color component of described pixel unit comprises R, G, three color components of B.
Preferably, described method also comprises:
Write the essential information of described remote sensing image data, the essential information of described remote sensing image data comprises the size of fixed block.
The embodiment of the invention also discloses a kind of method that remote sensing image data reads, described remote sensing image data file comprises essential information, the value of the color component of pixel unit in memory length information and fixed block; Wherein, described essential information comprises fixedly block size, and described memory length information comprises the first sign, the second sign, the 3rd sign and the 4th sign; Described method comprises:
The embodiment of the invention also discloses the device that a kind of remote sensing image data writes, described original remote sensing image data comprise M*N pixel unit, and described M is row, and N is row; Wherein, described pixel unit comprises K color component, and described K is greater than 1, and described device comprises:
The remote sensing image data acquisition module is used for obtaining the original remote sensing image data;
Remote sensing image data is divided module, is used for by default size, described original remote sensing image data being divided fixed block;
The numerical value acquisition module is for the value of the color component that obtains described fixed block pixel unit;
The first judge module, be used for judging described color component value whether all less than the first predetermined threshold value; If call the first logging modle, if not, call the second judge module;
The first logging modle is used for adopting 1 value that records the color component of described fixed block pixel unit, and distributes the first sign for described fixed block;
The second judge module, be used for judging described color component value whether all less than the second predetermined threshold value; If call the second logging modle, if not, call the 3rd judge module; Wherein, described the second predetermined threshold value is greater than described the first predetermined threshold value;
The second logging modle is used for adopting 2 values that record the color component of described fixed block pixel unit, and distributes the second sign for described fixed block;
The 3rd judge module, be used for judging described color component value whether all less than the 3rd predetermined threshold value; If call the 3rd logging modle, if not, call the 4th logging modle; Wherein, described the 3rd predetermined threshold value is greater than described the second predetermined threshold value;
The 3rd logging modle is used for adopting 4 values that record the color component of described fixed block pixel unit, and distributes the 3rd sign for described fixed block;
The 4th logging modle is used for adopting 8 values that record the color component of described fixed block pixel unit, and distributes the 4th sign for described fixed block;
The Ergodic judgement module is used for judging whether to have traveled through described original remote sensing image data, if, call the length information memory module, if not, call the numerical value acquisition module;
The length information memory module is used for described the first sign, the second sign, and the 3rd sign and the 4th sign are organized as memory length information according to the order of sequence;
Molded tissue block, the value and the memory length Information Organization that are used for the color component of described fixed block pixel unit are the target remote sensing image data.
Preferably, described fixedly block size is a*b pixel unit, and described a is row, and b is row; Described remote sensing image data is divided module and is comprised:
First replenishes submodule, is used for when the aliquant a of M, and the line number of replenishing corresponding pixel unit makes M aliquot a;
Second replenishes submodule, is used for when the aliquant b of N, and the columns that replenishes corresponding pixel unit makes N aliquot b.
Preferably, the color component of described pixel unit comprises R, G, three color components of B.
Preferably, described device also comprises:
The essential information writing module, for the essential information that writes described remote sensing image data, the essential information of described remote sensing image data comprises the size of fixed block.
The embodiment of the invention also discloses the device that a kind of remote sensing image data reads, described remote sensing image data file comprises essential information, the value of the color component of pixel unit in memory length information and fixed block; Wherein, described essential information comprises fixedly block size, and described memory length information comprises the first sign, the second sign, the 3rd sign and the 4th sign; Described device comprises:
The remote sensing image data read module is used for reading the target remote sensing image data;
The acquisition of information module is used for obtaining described memory length information and described fixedly block size;
The length information judge module is used for reading described memory length information successively, judges that described memory length information is the first sign, the second sign, the 3rd sign or the 4th sign; If the first sign is called the first extraction module; If the second sign is called the second extraction module; If the 3rd sign is called the 3rd extraction module; If the 4th sign is called the 4th extraction module;
The first extraction module is used for extracting successively the value of the color component of the pixel unit that adopts 1 record described fixed block according to described fixedly block size from the target remote sensing image data;
The second extraction module is used for extracting successively the value of the color component of the pixel unit that adopts 2 records described fixed block according to described fixedly block size from the target remote sensing image data;
The 3rd extraction module is used for extracting successively the value of the color component of the pixel unit that adopts 4 records described fixed block according to described fixedly block size from the target remote sensing image data;
The 4th extraction module is used for extracting successively the value of the color component of the pixel unit that adopts 8 records described fixed block according to described fixedly block size from the target remote sensing image data;
The Ergodic judgement module is used for judging whether to have traveled through described target remote sensing image data, if, call molded tissue block, if not, return the recalls information acquisition module;
Molded tissue block is used for the value of the color component of described fixed block pixel unit is organized as the original remote sensing image data according to the order of sequence.
Compared with prior art, the present invention includes following advantage:
in the present invention the value of the color component in pixel unit in remote sensing image data is not taked to fix 8 modes, and the pixel block of several fixed sizes is stored with 8-4-2-1 position variable-length respectively according to the threshold range of its color component, and record the memory length information that fixed block uses, can effectively store and use the remote sensing image data of magnanimity, reduce the remote sensing image data use cost, when carrying out the raster data backup, can store same information with resource still less, take full advantage of storage space, improve transmission and the treatment effeciency of raster data.
Description of drawings
Fig. 1 is the embodiment flow chart of steps of the method that writes of a kind of remote sensing image data of the present invention;
Fig. 2 is that a kind of remote sensing image data fixed block of the present invention is divided schematic diagram;
Fig. 3 is the embodiment flow chart of steps of the method that reads of a kind of remote sensing image data of the present invention;
Fig. 4 is the schematic diagram of the part remote sensing image data in a kind of a certain area of the present invention;
Fig. 5 is the example structure block diagram of the device that writes of a kind of remote sensing image data of the present invention;
Fig. 6 is the example structure block diagram of the device that reads of a kind of remote sensing image data of the present invention.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, the present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
One of core idea of the embodiment of the present invention is, pixel unit color component data in remote sensing image data is not taked to fix 8 modes, and the fixed block of several fixed sizes is stored with 8-4-2-1 position variable-length respectively according to the threshold range of its color component, and record the memory length information that fixed block uses, can effectively store and use the remote sensing image data of magnanimity, reduce the remote sensing image data use cost, save the storage space of raster data, improve transmission and the treatment effeciency of raster data.
With reference to Fig. 1, show the embodiment flow chart of steps of the method that a kind of remote sensing image data of the present invention writes, described original remote sensing image data can comprise M*N pixel unit, and described M is row, and N is row; Wherein, described pixel unit comprises K color component, and described K is greater than 1, and described method specifically can comprise the steps:
Step 101 is obtained the original remote sensing image data;
Wherein, remote sensing image data mainly refers to airphoto and satellite photograph, the wave band quantity that different remote sensing image data products comprises is different, in embodiments of the present invention with prevailing 3 wave band R, G, the remote sensing image data of B colour is that example is carried out principle explanation, and the handling principle to this 3 wave band data in other multiwave disposal route principles and the embodiment of the present invention is the same, can use the method for same processing.
Step 102 is divided fixed block by default size to described original remote sensing image data;
In a preferred embodiment of the present invention, described fixedly block size can be a*b pixel unit, and described a is row, and b is row; Described step 102 can comprise following substep:
Substep S11, when the aliquant a of M, the line number of replenishing corresponding pixel unit makes M aliquot a;
Substep S12, when the aliquant b of N, the columns that replenishes corresponding pixel unit makes N aliquot b.
With reference to Fig. 2, be depicted as a kind of remote sensing image data fixed block of the present invention and divide schematic diagram, suppose that the original remote sensing image data are comprised of the M*N pixel unit, choosing fixed block size is the a*b pixel unit, remote sensing image data is divided into the individual fixed block of [M/a] * [N/b].Wherein, if M/a is not integer, replenishes the row pixel unit and make M can divide exactly a, the value (r, g, b) of each additional pixel unit color component is (0,0,0); If N/b is not integer, to replenish the row pixel unit and make N can divide exactly b, the value (r, g, b) of each additional pixel unit color component is (0,0,0), after the original remote sensing image data have been divided fixed block, can obtain s*t fixed block.
Step 103 is obtained the value of the color component of pixel unit in described fixed block;
In a preferred embodiment of the present invention, the color component of described pixel unit can comprise R, G, three color components of B.
In embodiments of the present invention, take wave band as the RGB remote sensing image data as example, its every pixel unit comprises 3 wave bands, be respectively R wave band, G-band, B wave band, each wave band can represent with a round values between 0 to 255, is also that each pixel unit need to be expressed its colouring information with 3 round values r, g and b.At present, in computer system, traditional way is that color component r, the g of each pixel unit and b are stored with 81 bytes respectively.
Step 105 adopts 1 value that records the color component of pixel unit in described fixed block, and distributes the first sign for described fixed block;
If in fixed block, the value of the color component of pixel unit is all less than the first predetermined threshold value, to the value of the color component of pixel unit in this fixed block with 1 record, and distribute the first sign to show the method for this fixed block storage.
Step 107 adopts 2 values that record the color component of pixel unit in described fixed block, and distributes the second sign for described fixed block;
If in fixed block, the value of the color component of pixel unit is all less than the second predetermined threshold value, to the value of the color component of pixel unit in this fixed block with 2 records, and distribute the second sign to show the method for this fixed block storage.
Step 109 adopts 4 values that record the color component of pixel unit in described fixed block, and distributes the 3rd sign for described fixed block;
If in fixed block, the value of the color component of pixel unit is all less than the 3rd predetermined threshold value, to the value of the color component of pixel unit in this fixed block with 4 records, and distribute the 3rd sign to show the method for this fixed block storage.
Step 110 adopts 8 values that record the color component of pixel unit in described fixed block, and distributes the 4th sign for described fixed block;
If in fixed block, the value of the color component of pixel unit is all less than the 4th predetermined threshold value, to the value of the color component of pixel unit in this fixed block with 8 records, and distribute the 4th sign to show the method for this fixed block storage.
Use the embodiment of the present invention, (1＜=i＜=s*t), it includes a*b pixel unit to any one fixed block i of s*t the fixed block that division obtains for the foundation fixed block size.Read out this a*b pixel unit correspondence and carry out inventory analysis:
1) if the color component value r that in fixed block, all pixel unit is corresponding (a*b), g, b is 0 or 1, the value of each color component that each pixel unit in this fixed block is corresponding can be stored with 1, every pixel unit needs the storage space of 3, and this fixed block needs the a*b*3 position to store; Specific implementation is that (perhaps other storage mediums all can) distributes a*b*3 position storage space hereof, and the value of pixel unit color component in fixed block is write this space.
2) if do not satisfy 1) condition, see pixel units all in fixed block (a*b 's) color component value r, g, whether b is less than 4, if, the value of each color component of each pixel unit in this fixed block can be stored with 2, and every pixel unit needs the storage space of 6, and this fixed block needs the a*b*6 position to store; If the value of the color component of pixel unit is not less than 4, by 3) process.Specific implementation is that (perhaps other storage mediums) distribute a*b*6 position storage space hereof, and the value of pixel unit color component in fixed block is write this space.
3) if the value r of the color component of all pixel unit (a*b) in fixed block, g, whether b is less than 16, the value of each color component of each pixel unit in this fixed block is stored with 4, every pixel unit needs 12 storage spaces, and this fixed block needs the a*b*12 position to store; If the value of the color component of pixel unit is not less than 16, by 4) process.Specific implementation is that (perhaps other storage mediums) distribute the storage space of a*b*12 position hereof, and the value of pixel unit color component in fixed block is write this space.
4) be not less than 16 for the value of the color component of pixel unit in fixed block, the value of each color component of each pixel unit in this fixed block is stored with 8, every pixel unit needs 24 storage spaces, and this fixed block needs the a*b*24 position to store; Specific implementation is that (perhaps other storage mediums) distribute the storage space of a*b*24 position hereof, and the value of pixel unit color component in fixed block is write this space.
By top step, after in order s*t fixed block being handled, just recorded the value of color component in whole pixel units of remote sensing image in the continuous one section storage space in file (or other media), can be referred to as the master data of remote sensing image.
Step 111 judges whether to have traveled through described original remote sensing image data, if execution in step 112, if not, returns to step 103;
In specific implementation, the fixed block i via memory allocated mode in said method is also needed to record the conditional information that this fixed block satisfies.Recording method is as follows:
1, if this fixed block i satisfies above-mentioned 1) condition, namely to the value of the color component of pixel unit in this fixed block with 1 record, can be with 2 00 as the first sign, the value that represent pixel unit in this fixed block adopts 1 and stores;
2, if this fixed block i satisfies above-mentioned 2) condition, namely to the value of the color component of pixel unit in this fixed block with 2 records, can be with 2 01 as the second sign, the value that represent pixel unit in this fixed block adopts 2 and stores;
3, if this fixed block i satisfies above-mentioned 3) condition, namely to the value of the color component of pixel unit in this fixed block with 4 records, can come the 3rd sign with 2 10, the value that represents pixel unit in this fixed block adopts 4 and stores;
4, if this fixed block i satisfies above-mentioned 4) condition, namely to the value of the color component of pixel unit in this fixed block with 8 records, can record the 4th sign with 2 11, the value that represents pixel unit in this fixed block adopts 8 and stores.
After by above-mentioned method, s*t " fixed block " being handled, be divided into the storage space of having joined the s*t*2 position, then in order the memory length information of this s*t fixed block stored.
Step 113 is the target remote sensing image data with value and the memory length Information Organization of the color component of pixel unit in described fixed block.
In a preferred embodiment of the present invention, described method can also comprise the steps:
Write the essential information of described remote sensing image data, the essential information of described remote sensing image data comprises the size of fixed block.
In addition, the essential information of remote sensing image data can also be stored, specifically can comprise the line number M of the pixel unit of remote sensing image data, columns N, fixedly block size a*b, and other supplementarys.Essential information is generally to preserve in the data writing file, can certainly be other storage mediums.
Use the embodiment of the present invention, when the study area of remote sensing image comprises a large amount of water bodys, and water body represents through black picture element commonly used unit.Numerical value (the r that just contains so a large amount of concentrated distributions in remote sensing image data, g, b) be (0,0,0) pixel unit is if adopt traditional every pixel unit to need the i.e. storage space of 3 bytes in 3*8 position, take huge storage resources, the 8-4-2-1 position dynamical fashion that adopts that the embodiment of the present invention proposes, every pixel unit only needs the storage space of 3 to get final product, and has greatly saved storage space.For the pixel unit that is not exclusively (0,0,0), but the value of pixel unit very near the time, can store with 2 or 4 s' mode, enlarged like this conditioned disjunction occasion that can use less storage space.Only have and (0,0, the 0) pixel unit that error is larger, just store with 8 traditional modes.Simultaneously, the embodiment of the present invention is not limited to the remote sensing image data to 3 wave bands, can process equally the remote sensing image data of any wave band.
Preferably, can decide according to the remote sensing image data amount size of reality choosing of fixed block size a*b.For the remote sensing image data of magnanimity, recommendation is the fixed block of 256*256 or 512*512 size.The embodiment of the present invention has great use value to the remote sensing image data backup of magnanimity, adopts the method in the embodiment of the present invention, and conserve storage, also reduced the data management maintenance cost simultaneously greatly.
With reference to Fig. 3, show the flow chart of steps of the embodiment of the method that a kind of remote sensing image data of the present invention reads, described remote sensing image data file comprises essential information, the value of the color component of pixel unit in memory length information and fixed block; Wherein, described essential information comprises fixedly block size, and described memory length information comprises the first sign, the second sign, the 3rd sign and the 4th sign; Described method specifically can comprise the steps:
Step 201 reads the target remote sensing image data;
Step 202 is obtained described memory length information and described fixedly block size;
In specific implementation, first read the essential information of the remote sensing image data of storage, comprise pixel unit line number M, pixel unit columns N, fixed block size a*b can calculate the quantity s*t of the fixed block of division.
Step 203 reads described memory length information successively, judges that described memory length information is the first sign, the second sign, the 3rd sign or the 4th sign; If the first sign, execution in step 204; If the second sign, execution in step 205; If the 3rd sign, execution in step 206; If the 4th sign, execution in step 207;
Since the 1st fixed block, if its memory length information is 00, it is the 3*a*b position that the color component that represents pixel unit in this fixed block takies storage space, reads the front 3*a*b position of the master data of remote sensing image, is the value of color component of all pixel units of this fixed block.
If its memory length information of fixed block is 01, it is the 6*a*b position that the color component that represents pixel unit in this fixed block takies storage space, reads the front 6*a*b position of the master data of remote sensing image, is the value of color component of all pixel units of this fixed block.
If the memory length information of fixed block is 10, it is the 12*a*b position that the color component that represents pixel unit in this fixed block takies storage space, reads the front 12*a*b position of the master data of remote sensing image, is the value of color component of all pixel units of this fixed block.
If fixed block memory length information is 11, represent that these fixed block data take up room and be the 24*a*b position, read the front 24*a*b position of the master data of remote sensing image, be the value of color component of all pixel units of this fixed block.
Step 208 judges whether to have traveled through described target remote sensing image data, if execution in step 209, if not, returns to step 202;
When first fixed block read complete after, then read the memory length information of the 2nd fixed block, then take out the value of the color component of corresponding pixel unit from the master data of remote sensing image.With the method, until obtain the value of color component in the pixel unit of all fixed blocks.
Step 209 is organized as the original remote sensing image data according to the order of sequence with the value of the color component of pixel unit in described fixed block.
In order to make those skilled in the art further understand the embodiment of the present invention, illustrate below by a concrete example.
With reference to Fig. 4, be depicted as the schematic diagram of the part remote sensing image data in a kind of 1998 of the present invention a certain areas, this remote sensing image data resolution is 30 meters, the size of pixel unit is 134724*161360.If the mode that adopts the value of the color component of traditional every pixel unit to distribute 8 storage spaces, remote sensing image data for the RGB triband needs approximately 61GB altogether, adopt the embodiment of the present invention, use fixed block size to be the fixed block of 256*256, namely obtain s*t=527*631 fixed block. the essential information of using file Base.rd to preserve remote sensing image data, the pixel unit line number M=134724 that comprises remote sensing image data, columns N=161360, fixedly block size a=b=256.Be dividing of a=b=256 with this remote sensing image data by fixed block size, can obtain s*t=527*631 fixed block.to each fixed block, read the value of the color component of its 256*256 pixel unit, then the memory length condition that judges this fixed block and satisfied, and 2 bit data that will represent the memory length condition that satisfies write the Base.rd file, simultaneously, distribute corresponding storage space (if 2 of this fixed block are 00 in the master data file Data.rd of remote sensing image, distribute the 3*256*256 position, if 2 of this fixed block is 10, distribute the 6*256*256 position ...), and each is written to 3 (or 6 or 12 or 24) in the Data.rd file, (specifically how the 3*256*256 bit data of each fixed block stores with the value of 256*256 pixel unit in this fixed block, mode freely, the embodiment of the present invention is not done this and is not limited, such as, can be unit by 81 bytes with the 3*256*256 position, from the beginning to the end, divide into groups, if last group is less than 8, mend 0 and gather together enough into 81 bytes, then every group of 81 bytes after this grouping are stored.Can be also one group by 32, be divided into groups in the 3*256*256 position of fixed block, last 32 of group less than mends 0, and then every group of integer number with 4 bytes stored etc.)
After handling all fixed blocks, the 2*s*t bit data of having pressed the fixed block sequential storage in the Base.rd file.Stored the value of color component of the actual pixels unit of s*t=527*631 fixed block in master data file Data.rd file.Certainly, the storage space of each piece of this s*t=527*631 fixed block of this moment is dynamic change, is not just the same size.After according to said method remote sensing image data being stored, total storage space of Base.rd file and Data.rd file is about 38Gb, is 63% of original storage requisite space.Data are carried out Internet Transmission like this, and data backup is especially backed up in multipoint data repetition situation, has greatly saved transmission volume or disk space, has greatly saved hardware investment, has higher actual application value.
Need to prove, for embodiment of the method, for simple description, therefore it all is expressed as a series of combination of actions, but those skilled in the art should know, the application is not subjected to the restriction of described sequence of movement, because according to the application, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in instructions all belongs to preferred embodiment, and related action might not be that the application is necessary.
With reference to Fig. 5, be depicted as the device example structure block diagram that a kind of remote sensing image data of the present invention writes, described original remote sensing image data comprise M*N pixel unit, and described M is row, and N is row; Wherein, described pixel unit comprises K color component, and described K is greater than 1, and described device comprises:
Remote sensing image data acquisition module 301 is used for obtaining the original remote sensing image data;
Remote sensing image data is divided module 302, is used for by default size, described original remote sensing image data being divided fixed block;
In a preferred embodiment of the present invention, described fixedly block size can be a*b pixel unit, and described a is row, and b is row; Described remote sensing image data is divided module 302 can comprise following submodule:
First replenishes submodule, is used for when the aliquant a of M, and the line number of replenishing corresponding pixel unit makes M aliquot a;
Second replenishes submodule, is used for when the aliquant b of N, and the columns that replenishes corresponding pixel unit makes N aliquot b.
Numerical value acquisition module 303 is for the value of the color component that obtains described fixed block pixel unit;
In a preferred embodiment of the present invention, the color component of described pixel unit can comprise R, G, three color components of B.
The first judge module 304, be used for judging described color component value whether all less than the first predetermined threshold value; If call the first logging modle, if not, call the second judge module;
The first logging modle 305 is used for adopting 1 value that records the color component of described fixed block pixel unit, and distributes the first sign for described fixed block;
The second judge module 306, be used for judging described color component value whether all less than the second predetermined threshold value; If call the second logging modle, if not, call the 3rd judge module; Wherein, described the second predetermined threshold value is greater than described the first predetermined threshold value;
The second logging modle 307 is used for adopting 2 values that record the color component of described fixed block pixel unit, and distributes the second sign for described fixed block;
The 3rd judge module 308, be used for judging described color component value whether all less than the 3rd predetermined threshold value; If call the 3rd logging modle, if not, call the 4th logging modle; Wherein, described the 3rd predetermined threshold value is greater than described the second predetermined threshold value;
The 3rd logging modle 309 is used for adopting 4 values that record the color component of described fixed block pixel unit, and distributes the 3rd sign for described fixed block;
The 4th logging modle 310 is used for adopting 8 values that record the color component of described fixed block pixel unit, and distributes the 4th sign for described fixed block;
Length information memory module 312 is used for described the first sign, the second sign, and the 3rd sign and the 4th sign are organized as memory length information according to the order of sequence;
Molded tissue block 313, the value and the memory length Information Organization that are used for the color component of described fixed block pixel unit are the target remote sensing image data.
In a preferred embodiment of the present invention, described device can also comprise as lower module:
The essential information writing module, for the essential information that writes described remote sensing image data, the essential information of described remote sensing image data comprises the size of fixed block.
For device embodiment shown in Figure 5, because it is substantially similar to embodiment of the method shown in Figure 1, so description is fairly simple, relevant part gets final product referring to the part explanation of embodiment of the method.
With reference to Fig. 6, be depicted as the device example structure block diagram that a kind of remote sensing image data of the present invention reads, described remote sensing image data file comprises essential information, the value of the color component of pixel unit in memory length information and fixed block; Wherein, described essential information comprises fixedly block size, and described memory length information comprises the first sign, the second sign, the 3rd sign and the 4th sign; Described device specifically can comprise as lower module:
Remote sensing image data read module 401 is used for reading the target remote sensing image data;
Acquisition of information module 402 is used for obtaining described memory length information and described fixedly block size;
Length information judge module 403 is used for reading described memory length information successively, judges that described memory length information is the first sign, the second sign, the 3rd sign or the 4th sign; If the first sign is called the first extraction module; If the second sign is called the second extraction module; If the 3rd sign is called the 3rd extraction module; If the 4th sign is called the 4th extraction module;
The first extraction module 404 is used for extracting successively the value of the color component of the pixel unit that adopts 1 record described fixed block according to described fixedly block size from the target remote sensing image data;
The second extraction module 405 is used for extracting successively the value of the color component of the pixel unit that adopts 2 records described fixed block according to described fixedly block size from the target remote sensing image data;
The 3rd extraction module 406 is used for extracting successively the value of the color component of the pixel unit that adopts 4 records described fixed block according to described fixedly block size from the target remote sensing image data;
The 4th extraction module 407 is used for extracting successively the value of the color component of the pixel unit that adopts 8 records described fixed block according to described fixedly block size from the target remote sensing image data;
Molded tissue block 409 is used for the value of the color component of described fixed block pixel unit is organized as the original remote sensing image data according to the order of sequence.
For device embodiment shown in Figure 6, because it is substantially similar to the embodiment of the method that Fig. 3 shows, so description is fairly simple, relevant part gets final product referring to the part explanation of embodiment of the method.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, and what each embodiment stressed is and the difference of other embodiment that between each embodiment, identical similar part is mutually referring to getting final product.
Those skilled in the art should understand, the application's embodiment can be provided as method, device or computer program.Therefore, the application can adopt complete hardware implementation example, implement software example or in conjunction with the form of the embodiment of software and hardware aspect fully.And the application can adopt the form that wherein includes the upper computer program of implementing of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code one or more.
The application is that reference is described according to process flow diagram and/or the block scheme of method, equipment (system) and the computer program of the embodiment of the present application.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or block scheme and/or square frame and process flow diagram and/or block scheme and/or the combination of square frame.Can provide these computer program instructions to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device to produce a machine, make the instruction of carrying out by the processor of computing machine or other programmable data processing device produce to be used for the device of realizing in the function of flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame appointments.
These computer program instructions also can be stored in energy vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work, make the instruction that is stored in this computer-readable memory produce the manufacture that comprises command device, this command device is realized the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame.
These computer program instructions also can be loaded on computing machine or other programmable data processing device, make on computing machine or other programmable devices and to carry out the sequence of operations step producing computer implemented processing, thereby be provided for realizing the step of the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame in the instruction of carrying out on computing machine or other programmable devices.
Although described the application's preferred embodiment, in a single day those skilled in the art get the basic creative concept of cicada, can make other change and modification to these embodiment.So claims are intended to all changes and the modification that are interpreted as comprising preferred embodiment and fall into the application's scope.
At last, also need to prove, in this article, relational terms such as the first and second grades only is used for an entity or operation are separated with another entity or operational zone, and not necessarily requires or hint and have the relation of any this reality or sequentially between these entities or operation.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thereby make the process, method, article or the equipment that comprise a series of key elements not only comprise those key elements, but also comprise other key elements of clearly not listing, or also be included as the intrinsic key element of this process, method, article or equipment.In the situation that not more restrictions, the key element that is limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment that comprises described key element and also have other identical element.
The above method and apparatus that a kind of remote sensing image data provided by the present invention is write and reads, be described in detail, used specific case herein principle of the present invention and embodiment are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (10)
1. the method that remote sensing image data writes, is characterized in that, described original remote sensing image data comprise M*N pixel unit, and described M is row, and N is row; Wherein, described pixel unit comprises K color component, and described K is greater than 1, and described method comprises:
Step 101 is obtained the original remote sensing image data;
Step 102 is divided fixed block by default size to described original remote sensing image data;
Step 103 is obtained the value of the color component of pixel unit in described fixed block;
Step 104, judge described color component value whether all less than the first predetermined threshold value; If execution in step 105, if not, execution in step 106;
Step 105 adopts 1 value that records the color component of pixel unit in described fixed block, and distributes the first sign for described fixed block;
Step 106, judge described color component value whether all less than the second predetermined threshold value; If execution in step 107, if not, execution in step 108; Wherein, described the second predetermined threshold value is greater than described the first predetermined threshold value;
Step 107 adopts 2 values that record the color component of pixel unit in described fixed block, and distributes the second sign for described fixed block;
Step 108, judge described color component value whether all less than the 3rd predetermined threshold value; If execution in step 109, if not, execution in step 110; Wherein, described the 3rd predetermined threshold value is greater than described the second predetermined threshold value;
Step 109 adopts 4 values that record the color component of pixel unit in described fixed block, and distributes the 3rd sign for described fixed block;
Step 110 adopts 8 values that record the color component of pixel unit in described fixed block, and distributes the 4th sign for described fixed block;
Step 111 judges whether to have traveled through described original remote sensing image data, if execution in step 112, if not, returns to step 103;
Step 112, with described the first sign, the second sign, the 3rd sign and the 4th sign are organized as memory length information according to the order of sequence;
Step 113 is the target remote sensing image data with value and the memory length Information Organization of the color component of pixel unit in described fixed block.
2. method according to claim 1, is characterized in that, described fixedly block size is a*b pixel unit, and described a is row, and b is row; Described step 102 comprises:
When the aliquant a of M, the line number of replenishing corresponding pixel unit makes M aliquot a;
When the aliquant b of N, the columns that replenishes corresponding pixel unit makes N aliquot b.
3. method according to claim 1, is characterized in that, the color component of described pixel unit comprises R, G, three color components of B.
4. method according to claim 1 and 2, is characterized in that, also comprises:
Write the essential information of described remote sensing image data, the essential information of described remote sensing image data comprises the size of fixed block.
5. the method that remote sensing image data reads, is characterized in that, described remote sensing image data file comprises essential information, the value of the color component of pixel unit in memory length information and fixed block; Wherein, described essential information comprises fixedly block size, and described memory length information comprises the first sign, the second sign, the 3rd sign and the 4th sign; Described method comprises:
Step 201 reads the target remote sensing image data;
Step 202 is obtained described memory length information and described fixedly block size;
Step 203 reads described memory length information successively, judges that described memory length information is the first sign, the second sign, the 3rd sign or the 4th sign; If the first sign, execution in step 204; If the second sign, execution in step 205; If the 3rd sign, execution in step 206; If the 4th sign, execution in step 207;
Step 204, the described fixedly block size of foundation extracts the value of the color component of the pixel unit that adopts 1 record in described fixed block successively from the target remote sensing image data;
Step 205, the described fixedly block size of foundation extracts the value of the color component of the pixel unit that adopts 2 records in described fixed block successively from the target remote sensing image data;
Step 206, the described fixedly block size of foundation extracts the value of the color component of the pixel unit that adopts 4 records in described fixed block successively from the target remote sensing image data;
Step 207, the described fixedly block size of foundation extracts the value of the color component of the pixel unit that adopts 8 records in described fixed block successively from the target remote sensing image data;
Step 208 judges whether to have traveled through described target remote sensing image data, if execution in step 209, if not, returns to step 202;
Step 209 is organized as the original remote sensing image data according to the order of sequence with the value of the color component of pixel unit in described fixed block.
6. the device that remote sensing image data writes, is characterized in that, described original remote sensing image data comprise M*N pixel unit, and described M is row, and N is row; Wherein, described pixel unit comprises K color component, and described K is greater than 1, and described device comprises:
The remote sensing image data acquisition module is used for obtaining the original remote sensing image data;
Remote sensing image data is divided module, is used for by default size, described original remote sensing image data being divided fixed block;
The numerical value acquisition module is for the value of the color component that obtains described fixed block pixel unit;
The first judge module, be used for judging described color component value whether all less than the first predetermined threshold value; If call the first logging modle, if not, call the second judge module;
The first logging modle is used for adopting 1 value that records the color component of described fixed block pixel unit, and distributes the first sign for described fixed block;
The second judge module, be used for judging described color component value whether all less than the second predetermined threshold value; If call the second logging modle, if not, call the 3rd judge module; Wherein, described the second predetermined threshold value is greater than described the first predetermined threshold value;
The second logging modle is used for adopting 2 values that record the color component of described fixed block pixel unit, and distributes the second sign for described fixed block;
The 3rd judge module, be used for judging described color component value whether all less than the 3rd predetermined threshold value; If call the 3rd logging modle, if not, call the 4th logging modle; Wherein, described the 3rd predetermined threshold value is greater than described the second predetermined threshold value;
The 3rd logging modle is used for adopting 4 values that record the color component of described fixed block pixel unit, and distributes the 3rd sign for described fixed block;
The 4th logging modle is used for adopting 8 values that record the color component of described fixed block pixel unit, and distributes the 4th sign for described fixed block;
The Ergodic judgement module is used for judging whether to have traveled through described original remote sensing image data, if, call the length information memory module, if not, call the numerical value acquisition module;
The length information memory module is used for described the first sign, the second sign, and the 3rd sign and the 4th sign are organized as memory length information according to the order of sequence;
Molded tissue block, the value and the memory length Information Organization that are used for the color component of described fixed block pixel unit are the target remote sensing image data.
7. device according to claim 1, is characterized in that, described fixedly block size is a*b pixel unit, and described a is row, and b is row; Described remote sensing image data is divided module and is comprised:
First replenishes submodule, is used for when the aliquant a of M, and the line number of replenishing corresponding pixel unit makes M aliquot a;
Second replenishes submodule, is used for when the aliquant b of N, and the columns that replenishes corresponding pixel unit makes N aliquot b.
8. device according to claim 1, is characterized in that, the color component of described pixel unit comprises R, G, three color components of B.
9. device according to claim 1 and 2, is characterized in that, also comprises:
The essential information writing module, for the essential information that writes described remote sensing image data, the essential information of described remote sensing image data comprises the size of fixed block.
10. the device that remote sensing image data reads, is characterized in that, described remote sensing image data file comprises essential information, the value of the color component of pixel unit in memory length information and fixed block; Wherein, described essential information comprises fixedly block size, and described memory length information comprises the first sign, the second sign, the 3rd sign and the 4th sign; Described device comprises:
The remote sensing image data read module is used for reading the target remote sensing image data;
The acquisition of information module is used for obtaining described memory length information and described fixedly block size;
The length information judge module is used for reading described memory length information successively, judges that described memory length information is the first sign, the second sign, the 3rd sign or the 4th sign; If the first sign is called the first extraction module; If the second sign is called the second extraction module; If the 3rd sign is called the 3rd extraction module; If the 4th sign is called the 4th extraction module;
The first extraction module is used for extracting successively the value of the color component of the pixel unit that adopts 1 record described fixed block according to described fixedly block size from the target remote sensing image data;
The second extraction module is used for extracting successively the value of the color component of the pixel unit that adopts 2 records described fixed block according to described fixedly block size from the target remote sensing image data;
The 3rd extraction module is used for extracting successively the value of the color component of the pixel unit that adopts 4 records described fixed block according to described fixedly block size from the target remote sensing image data;
The 4th extraction module is used for extracting successively the value of the color component of the pixel unit that adopts 8 records described fixed block according to described fixedly block size from the target remote sensing image data;
The Ergodic judgement module is used for judging whether to have traveled through described target remote sensing image data, if, call molded tissue block, if not, return the recalls information acquisition module;
Molded tissue block is used for the value of the color component of described fixed block pixel unit is organized as the original remote sensing image data according to the order of sequence.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310013116.4A CN103093413B (en) | 2013-01-14 | 2013-01-14 | A kind of remote sensing image data write and the method and apparatus read |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310013116.4A CN103093413B (en) | 2013-01-14 | 2013-01-14 | A kind of remote sensing image data write and the method and apparatus read |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103093413A true CN103093413A (en) | 2013-05-08 |
| CN103093413B CN103093413B (en) | 2015-08-19 |
Family
ID=48205949
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310013116.4A Active CN103093413B (en) | 2013-01-14 | 2013-01-14 | A kind of remote sensing image data write and the method and apparatus read |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103093413B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103763059B (en) * | 2013-10-25 | 2017-05-10 | 中国科学院对地观测与数字地球科学中心 | Remote-sensing satellite data quick-look substitution method |
| CN107992555A (en) * | 2017-11-28 | 2018-05-04 | 鲁东大学 | A kind of storage of raster data and read method |
| CN111125113A (en) * | 2019-12-25 | 2020-05-08 | 中科三清科技有限公司 | Method and device for storing air pollutant data |
| CN111405294A (en) * | 2020-03-25 | 2020-07-10 | 鲁东大学 | Storage and transmission method of image raster data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08294090A (en) * | 1995-04-20 | 1996-11-05 | Fuji Photo Film Co Ltd | Recorder for digital image data and its method |
| US20060050133A1 (en) * | 2004-09-08 | 2006-03-09 | Fuji Photo Film Co., Ltd. | Luminous device and optical fixing device |
| CN1851692A (en) * | 2005-08-05 | 2006-10-25 | 华为技术有限公司 | Picture data storage and read method |
| CN101060629A (en) * | 2007-04-27 | 2007-10-24 | 华为技术有限公司 | Image compression/decompression method and image coder/decoder and decoding circuit |
| EP2530649A1 (en) * | 2011-06-03 | 2012-12-05 | BAE Systems Plc | Sensor data processing |
-
2013
- 2013-01-14 CN CN201310013116.4A patent/CN103093413B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH08294090A (en) * | 1995-04-20 | 1996-11-05 | Fuji Photo Film Co Ltd | Recorder for digital image data and its method |
| US20060050133A1 (en) * | 2004-09-08 | 2006-03-09 | Fuji Photo Film Co., Ltd. | Luminous device and optical fixing device |
| CN1851692A (en) * | 2005-08-05 | 2006-10-25 | 华为技术有限公司 | Picture data storage and read method |
| CN101060629A (en) * | 2007-04-27 | 2007-10-24 | 华为技术有限公司 | Image compression/decompression method and image coder/decoder and decoding circuit |
| EP2530649A1 (en) * | 2011-06-03 | 2012-12-05 | BAE Systems Plc | Sensor data processing |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103763059B (en) * | 2013-10-25 | 2017-05-10 | 中国科学院对地观测与数字地球科学中心 | Remote-sensing satellite data quick-look substitution method |
| CN107992555A (en) * | 2017-11-28 | 2018-05-04 | 鲁东大学 | A kind of storage of raster data and read method |
| CN107992555B (en) * | 2017-11-28 | 2021-08-24 | 鲁东大学 | Method for storing and reading raster data |
| CN111125113A (en) * | 2019-12-25 | 2020-05-08 | 中科三清科技有限公司 | Method and device for storing air pollutant data |
| CN111405294A (en) * | 2020-03-25 | 2020-07-10 | 鲁东大学 | Storage and transmission method of image raster data |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103093413B (en) | 2015-08-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101916299B (en) | Three-dimensional spatial data storage and management method based on file system | |
| Isenburg et al. | Generating raster DEM from mass points via TIN streaming | |
| CN101162441B (en) | Access apparatus and method for data | |
| CN107423422A (en) | Spatial data distributed storage and search method and system based on grid | |
| CN102682108B (en) | Row and line mixed database storage method | |
| CN103187978A (en) | Method and device for compression and decompression of vector map data | |
| CN103093413A (en) | Writing and reading method and writing and reading device of remote sensing image data | |
| CN103440350B (en) | A kind of three-dimensional data search method based on Octree and device | |
| CN106354890B (en) | A kind of implementation method of the file system of the random access based on N-ary tree construction | |
| CN106991143A (en) | Multi-layer image file, generation method and device, read method and device | |
| CN102509022A (en) | Method for quickly constructing raster database facing to Virtual Earth | |
| CN106101712B (en) | A kind of processing method and processing device of video stream data | |
| CN105354291A (en) | Raster data index and query method | |
| CN102663664B (en) | Method for processing supersized texture images | |
| CN102867023B (en) | Method for storing and reading grid data and device | |
| CN112800152B (en) | Track data processing method, device and system | |
| CN104111899A (en) | Cache data storage method and system and cache data reading method | |
| CN106873906A (en) | Method and apparatus for managing metamessage | |
| CN105824580A (en) | Writing method of video files and recording equipment | |
| CN102902491B (en) | The method of remote sensing image data write and reading and device | |
| CN102903148B (en) | A kind of grid data rendering method and device | |
| CN103886045A (en) | Access method and device including local valid grid data | |
| CN104484404A (en) | Improved processing method for geo-raster data file in distributed file system | |
| CN102915329B (en) | Method and device for writing and reading grid data | |
| CN102708109B (en) | Raster data reading method and device and raster data writing method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |