CN112817918A - High-resolution three-number data conversion method, terminal equipment and storage medium - Google Patents

High-resolution three-number data conversion method, terminal equipment and storage medium Download PDF

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CN112817918A
CN112817918A CN202110045954.4A CN202110045954A CN112817918A CN 112817918 A CN112817918 A CN 112817918A CN 202110045954 A CN202110045954 A CN 202110045954A CN 112817918 A CN112817918 A CN 112817918A
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陈云
乔志勇
李萌
张鸿玮
郭燕滨
邱莉莉
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Xiamen Kingtop Information Technology Co Ltd
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Abstract

The invention relates to a high-resolution three-number data conversion method, terminal equipment and a storage medium, wherein the method comprises the following steps: aiming at each scene L1A product, acquiring the scene image quantization maximum value and a scaling constant from an image meta-information file; calculating an intermediate parameter omega; acquiring the number of rows and columns and the values of the parameters offset _ strip and offset _ strip _ byte from a header file of the scene TIFF file; after offsetting the Offset _ Strip bytes from the initial position of the TIFF file, reading the value of the data Offset of each line and storing the value into an array Strip _ Offset; after offset by offset _ Strip _ byte Bytes from the initial position of the TIFF file, reading the data length of each line and storing the data length into an array Strip _ Bytes; traversing and reading the data of each row according to the data offset and the data length of each row; and traversing each pixel of each row, and converting the real part and the imaginary part of each pixel according to the calculated intermediate parameter omega to obtain converted data. The method realizes the rapid and accurate conversion of the high-resolution three-polarization data into the complex scattering matrix S2 data format, and has higher efficiency compared with other algorithms.

Description

High-resolution three-number data conversion method, terminal equipment and storage medium
Technical Field
The invention relates to the field of data conversion, in particular to a high-resolution three-number data conversion method, terminal equipment and a storage medium.
Background
A high-resolution third-order satellite (GF-3 satellite for short) is a high-resolution and full-polarization Synthetic Aperture Radar (SAR) satellite, and 12 subdivision imaging modes are designed for the satellite. The GF-3 satellite SAR can realize all-weather marine and land monitoring all-day-long, the acquired C-band multi-polarization microwave remote sensing data can be used for a plurality of fields of marine monitoring, disaster monitoring and evaluation, flood monitoring, soil moisture content measurement, crop growth monitoring, forest resource distribution and coverage monitoring and the like, serves a plurality of departments of China's marine bureau, disaster reduction commission, water conservancy department, meteorological bureau and the like, and is an important technical support for China to implement marine development, disaster prevention and reduction and land environmental resource monitoring. In order to process the high-resolution three-number data by utilizing PolSARpro open source software, the software format of the high-resolution three-number data needs to be quickly converted, and an efficient conversion method is not available in the existing data.
Disclosure of Invention
In order to solve the above problems, the present invention provides a high-resolution three-number data conversion method, a terminal device and a storage medium.
The specific scheme is as follows:
a high-resolution three-number data conversion method comprises the following steps:
s1: aiming at each scene L1A product, acquiring a maximum value QualifyValue and a radar scaling constant CalibrationConst of the scene image before quantization from an image meta-information file;
s2: calculating an intermediate parameter ω according to the maximum value QualifyValue before the scene image quantization and a radar scaling constant CalibrationConst:
Figure BDA0002897327170000021
s3: acquiring the row number and the column number of a data file from a header file of an image meta-information file or a TIFF file;
s4: acquiring values of a starting address offset _ strip of each line of data offset and a starting address offset _ strip _ byte of each line of data length of parameters from a header file of the TIFF file;
s5: after offsetting the Offset _ Strip bytes from the initial position of the TIFF file, traversing the value of the data Offset corresponding to each line in all the lines and storing the value into an array Strip _ Offset, wherein the ith element in the array Strip _ Offset represents the Offset of the ith line of data;
s6: after offset by offset _ Strip _ byte Bytes from the starting position of the TIFF file, traversing the length value of each line of data in all the lines and storing the length value into an array Strip _ Bytes, wherein the ith element in the array Strip _ Bytes represents the length value of the ith line of data;
s7: and sequentially reading each row of data according to the Offset of each row of data in the array Strip _ Offset and the byte number of each row of data in the array Strip _ Bytes, and converting the real part and the imaginary part of each read pixel according to the calculated intermediate parameter omega to obtain converted data.
Further, the maximum value QualifyValue before quantization is obtained from a product/imageinfo/QualifyValue node of the image meta-information file, and the radar scaling constant CalibrationConst is obtained from a product/processinfo/CalibrationConst node of the image meta-information file.
Further, the way of acquiring the number of rows and columns of the file is as follows:
s301: acquiring the number of columns from the product/imageinfo/width node of the image meta-information file, and acquiring the number of lines from the product/imageinfo/height node of the image meta-information file;
s302: acquiring the number of columns from the DE with the 1 st parameter tag being 256 and the number of rows from the DE with the 2 nd parameter tag being 257 of the header file of the TIFF file;
s303: checking the number of the rows and the number of the columns obtained in the two steps, and if the number of the rows or the number of the columns obtained in the two steps are not consistent, finishing the step; otherwise, acquiring the row number and the column number which are checked to be consistent.
Further, the calculation formula converted in step S7 is:
I_σ0＝I*ω
Q_σ0＝Q*ω
wherein I and Q represent a real part and an imaginary part, respectively, and I _ sigma0And Q _ sigma0Respectively representing the real and imaginary parts after conversion.
Further, the method also comprises the following steps: when the data is of a symmetric type, both the real part and the imaginary part are set to be average values.
Further, the method also comprises the following steps: polarization type setting is carried out according to whether the polarization type is a symmetrical type, and if the polarization type is the symmetrical type, PolarcCase is set to be monostatic; if it is of asymmetric type, PolarcCase is set to static.
Further, when a plurality of TIFF files are included in the video, the plurality of TIFF files are processed in parallel in steps S3 to S7.
The high-resolution three-number data conversion terminal device comprises a processor, a memory and a computer program which is stored in the memory and can run on the processor, wherein the processor executes the computer program to realize the steps of the method of the embodiment of the invention.
A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the method as described above for an embodiment of the invention.
By adopting the technical scheme, the high-resolution three-polarization data are quickly and accurately converted into the data format of the complex scattering matrix S2, and the efficiency is higher compared with other algorithms.
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FIG. 1 is a flow chart of a method according to an embodiment of the present invention.
Detailed Description
To further illustrate the various embodiments, the invention provides the accompanying drawings. The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the embodiments. Those skilled in the art will appreciate still other possible embodiments and advantages of the present invention with reference to these figures.
The invention will now be further described with reference to the accompanying drawings and detailed description.
The first embodiment is as follows:
the satellite image is received and stored in a remote sensing satellite ground station, and the ground station comprises a receiving station, a data processing center and an optical processing center. The received data is converted into digital data through digital-to-analog conversion, and the current image data is stored in a digital form and then stored in a tape or film form due to the limitation of computer technology. With the development of computer technology, the storage format tends to be standardized, and the tif or geotif format is mostly adopted.
The internal reading and writing format of the data file can be divided into three formats, namely BSQ, BIL and BIP, wherein: BSQ storing according to wave band, that is, storing one wave band and then storing the second wave band; BIL is stored according to rows, namely a first row of a first wave band is stored, then a first row of a second wave band is stored, and the like; the BIP is stored according to pixels, namely, the first pixel of the first wave band is stored firstly, then the first pixel of the second wave band is stored, and the storage is performed sequentially.
And the high-grade three-number data adopts tif format and is stored according to the BIP mode.
Since the acquired GF-3 satellite SAR data is L1A level single vision complex image, data preprocessing is needed before application. The pre-processing process generally includes radiometric calibration, multi-view, speckle noise filtering, geocoding, resampling, terrain correction, etc., and finally obtains the backscattering coefficient data.
The calibration formula for obtaining the backscattering coefficient by the data of the GF-3 satellite SAR L1A level is as follows:
Figure BDA0002897327170000051
in the formula:
Figure BDA0002897327170000052
is the backscattering coefficient in dB; in the L1A image, where PI＝I2+Q2The value of the QualifyValue is the maximum value of the scene before quantization, and the number can be obtained through the QualifyValue field of the image meta-information file. The CalibrationConst is a radar calibration constant of the scene image, and can be obtained through a CalibrationConst field of the video meta-information file.
It should be noted that, for multi-polarization and full-polarization images, QualifyValue of each polarization image is not the same, and needs to be searched in the image meta-information file QualifyValue node, taking a corresponding field of a certain polarization mode as an example, the following examples are given:
Figure BDA0002897327170000053
the electromagnetic wave transmission is divided into horizontal waves (H) and vertical waves (V), and the reception is also divided into H and V. Unipolar refers to either (HH) or (VV), which is either horizontally transmitted or vertically transmitted. Dual polarization refers to the addition of one polarization mode, such as (HH) horizontal transmission and horizontal reception and (HV) horizontal transmission and vertical reception, while another polarization mode is simultaneously added. The full polarization technique is the most difficult, and requires four polarization modes of emitting H and V, namely (HH) (HV) (VV) (VH) simultaneously. The high-resolution three-polarization multi-polarization comprises all the polarization modes, namely single polarization, dual polarization and full polarization.
The QualifyValue should correspond to a value of 3526.920898 when quantifying its HH image.
The lookup procedure of CalibrationConst takes the corresponding field of a certain polarization mode as an example, and the following is exemplified:
Figure BDA0002897327170000061
the CalibrationConst would correspond to a value of 32.405000 if its HH image was calibrated.
The above formula is applied to the real and imaginary parts, respectively, according to the S2 data format requirements of the PolSARpro software:
Figure BDA0002897327170000062
Figure BDA0002897327170000063
and according to the linear form of the backscattering coefficient, the derivation is simplified as follows:
Figure BDA0002897327170000064
Figure BDA0002897327170000065
Figure BDA0002897327170000066
Figure BDA0002897327170000067
Figure BDA0002897327170000068
Figure BDA0002897327170000071
Figure BDA0002897327170000072
Figure BDA0002897327170000073
is recorded as:
Figure BDA0002897327170000074
is the real backscattering coefficient, linear form.
The above I _ sigma0I.e. the result of the preprocessing of the real part corresponding to S2, similarly, the following result:
Figure BDA0002897327170000075
is recorded as:
Figure BDA0002897327170000076
in the form of imaginary backscattering coefficients, linear.
Recording:
Figure BDA0002897327170000077
then equations (11), (12) are further simplified to:
I_σ0＝I*ω (14)
Q_σ0＝Q*ω (15)
based on the above principle, in the embodiment of the present invention, taking the data of the fully polarized strip 1 as an example, a high-resolution three-signal data conversion method is provided, as shown in fig. 1, the method includes the following steps:
s1: for each scene L1A product, acquiring the maximum value QualifyValue and the radar scaling constant CalibrationConst of the scene image before quantization from the image meta-information file.
The maximum value QualifyValue before quantization is obtained from a product/image info/QualifyValue node of the image meta-information file, and the radar scaling constant califorConst is obtained from a product/processing fo/califorConst node of the image meta-information file.
S2: calculating an intermediate parameter omega of the image according to formula (13); the intermediate parameters of the fully polarized data can be respectively recorded as omegaHH、ωHV、ωVH、ωVV。
S3: and acquiring the row number and the column number of the data file from the header file of the image meta-information file or the TIFF file.
The process of acquiring the number of rows and columns of the file in this embodiment includes:
s301: acquiring row number 8062 from a product/imageinfo/width node of the image meta-information file, and row number 6160 from a product/imageinfo/height node of the image meta-information file;
s302: acquiring the number of columns from the DE with the 1 st parameter tag being 256 and the number of rows from the DE with the 2 nd parameter tag being 257 of the header file of the TIFF file;
s303: checking the number of the rows and the number of the columns obtained in the two steps, and if the number of the rows or the number of the columns obtained in the two steps are not consistent, finishing the step; otherwise, acquiring the row number and the column number which are checked to be consistent.
The accuracy of the acquired row number and column number can be ensured by the double check mode.
S4: the values of the parameters offset _ strip and offset _ strip _ byte are obtained from the header file of the TIFF file.
Here, offset _ strip _ byte is 24798, which indicates the start address of the offset amount for each line of data, and offset _ strip _ byte is 158, which indicates the start address of the length of each line of data.
S5: after Offset by Offset _ Strip bytes from the start position of the TIFF file, the value of the data Offset corresponding to each line in all lines is traversed and stored in an array Strip _ Offset, and the ith element in the array Strip _ Offset represents the Offset of the ith line of data.
Specifically, clip _ Offset [0] ═ 49438; strip _ Offset [1] ═ 81686; …, respectively; strip _ Offset [6159] ═ 198664870.
In an embodiment, since each row of data stored in the TIFF file has the same length, in order to further improve performance, only the first row of data offset needs to be read, and the data offsets of other rows can be calculated according to the data offset of the first row and the data length of each row.
S6: after offset by offset _ Strip _ byte from the start position of the TIFF file, the length value of each line of data in all the lines is traversed and stored in an array Strip _ Bytes, where the ith element in the array Strip _ Bytes represents the length value of the ith line of data.
Specifically, Strip _ Bytes [0] ═ 32248; strip _ Bytes [1] ═ 32248; …, respectively; strip _ Bytes [6159] ═ 32248.
In one embodiment, since each row of data stored in the TIFF file has the same length, the data can be read only once to further improve the performance; or directly calculating according to the number of columns, the number of pixel channels and the number of bytes of each channel without reading.
S7: and sequentially reading each row of data according to the Offset of each row of data in the array Strip _ Offset and the byte number of each row of data in the array Strip _ Bytes, and converting the real part and the imaginary part of each read pixel according to the calculated intermediate parameter omega to obtain converted data.
When the data is of a symmetric type, both the real part and the imaginary part are set to be average values.
Polarization type setting is carried out according to whether the polarization type is a symmetrical type, and if the polarization type is the symmetrical type, PolarcCase is set to be monostatic; if it is of asymmetric type, PolarcCase is set to static.
Furthermore, in this embodiment, a multithreading parallel processing method is used for optimization, and for the fully polarized data, according to the number of CPU cores, 4 threads may be used, or the number of CPU cores minus one thread is at least 1 thread. When a plurality of TIFF files are included in a video, the storage formats are consistent in consideration of the size consistency of the TIFF files, and therefore, the plurality of TIFF files are processed in parallel in steps S3 to S7.
Furthermore, according to the same view L1A product, the storage formats of a plurality of TIFF files are consistent with the offset of each line of data, the data length of each line is the same, and the parallel processing is further optimized according to step S7.
Experimental verification
The verification is carried out through a geographic information system development platform KingMap V7.0, and the platform is realized through C/C + + language. The platform operating environment is as follows: microsoft Windows7 Service Pack1 flagship edition 64-bit operating system; kingston DDR 3800 MHz 12GB memory; intel (R) core (TM) i5-4200U @1.60GHz 2.30GHz dual-core processor; WDC WD10JPVX-08JC3T5(1TB 5400 rpm 8M SATA6Gb/s) notebook hard disk. The algorithm program converts the data of the high-score three-number fully polarized strip 1 in a certain scene in 2018 and 10 months, and the data after verification and conversion are completely consistent with the data processed by software such as PolSARPro6.0.2 and the like, so that the algorithm is true and reliable. The different algorithm performance results are shown in table 1.
TABLE 1
Serial number Algorithm Data volume Time (seconds) Remarks for note
1 ENVI5.3.1/IDL8.5.1 1 scene 41 GF3 Toolbox plug-in components
2 PolSARpro6.0.2 1 scene 101
3 KingMap7.0 1 scene 15 Algorithm of the embodiment
The embodiment of the invention provides a high-resolution three-number data conversion method by simplifying a calculation formula. The algorithm is programmed and implemented on a geographic information system development platform KingMap V7.0 and is tested, the reliability of the algorithm is verified, and the algorithm has higher efficiency compared with other algorithms.
Example two:
the invention further provides high-resolution three-signal data conversion terminal equipment which comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the steps in the above method embodiment of the first embodiment of the invention are realized when the processor executes the computer program.
Further, as an executable scheme, the high-resolution three-number data conversion terminal device may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The high-resolution three-number data conversion terminal equipment can comprise, but is not limited to, a processor and a memory. Those skilled in the art will understand that the above-mentioned structure of the high-resolution three-number data conversion terminal device is only an example of the high-resolution three-number data conversion terminal device, and does not constitute a limitation on the high-resolution three-number data conversion terminal device, and may include more or less components than the above, or combine some components, or different components, for example, the high-resolution three-number data conversion terminal device may further include an input-output device, a network access device, a bus, etc., which is not limited in this embodiment of the present invention.
Further, as an executable solution, the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and the like. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc., and the processor is a control center of the high-resolution three-signal data conversion terminal device, and various interfaces and lines are used to connect various parts of the whole high-resolution three-signal data conversion terminal device.
The memory can be used for storing the computer program and/or the module, and the processor can realize various functions of the high-resolution three-signal data conversion terminal equipment by operating or executing the computer program and/or the module stored in the memory and calling data stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the mobile phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The invention also provides a computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned method of an embodiment of the invention.
The integrated module/unit of the high-resolution three-number data conversion terminal device can be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), software distribution medium, and the like.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (9)

1. A high-resolution three-number data conversion method is characterized by comprising the following steps:
s1: aiming at each scene L1A product, acquiring a maximum value QualifyValue and a radar scaling constant CalibrationConst of the scene image before quantization from an image meta-information file;
s2: calculating an intermediate parameter ω according to the maximum value QualifyValue before the scene image quantization and a radar scaling constant CalibrationConst:
Figure FDA0002897327160000011
s3: acquiring the row number and the column number of a data file from a header file of an image meta-information file or a TIFF file;
s4: acquiring values of a starting address offset _ strip of each line of data offset and a starting address offset _ strip _ byte of each line of data length of parameters from a header file of the TIFF file;
s5: after offsetting the Offset _ Strip bytes from the initial position of the TIFF file, traversing the value of the data Offset corresponding to each line in all the lines and storing the value into an array Strip _ Offset, wherein the ith element in the array Strip _ Offset represents the Offset of the ith line of data;
s6: after offset by offset _ Strip _ byte Bytes from the starting position of the TIFF file, traversing the length value of each line of data in all the lines and storing the length value into an array Strip _ Bytes, wherein the ith element in the array Strip _ Bytes represents the length value of the ith line of data;
s7: and sequentially reading each row of data according to the Offset of each row of data in the array Strip _ Offset and the byte number of each row of data in the array Strip _ Bytes, and converting the real part and the imaginary part of each read pixel according to the calculated intermediate parameter omega to obtain converted data.
2. The high-resolution three-signal data conversion method according to claim 1, wherein: the maximum value QualifyValue before quantization is obtained from a product/image info/QualifyValue node of the image meta-information file, and the radar scaling constant califorConst is obtained from a product/processing fo/califorConst node of the image meta-information file.
3. The high-resolution three-signal data conversion method according to claim 1, wherein: the acquisition mode of the number of rows and columns of the file is as follows:
s301: acquiring the number of columns from the product/imageinfo/width node of the image meta-information file, and acquiring the number of lines from the product/imageinfo/height node of the image meta-information file;
s302: acquiring the number of columns from the DE with the 1 st parameter tag being 256 and the number of rows from the DE with the 2 nd parameter tag being 257 of the header file of the TIFF file;
s303: checking the number of the rows and the number of the columns obtained in the two steps, and if the number of the rows or the number of the columns obtained in the two steps are not consistent, finishing the step; otherwise, acquiring the row number and the column number which are checked to be consistent.
4. The high-resolution three-signal data conversion method according to claim 1, wherein: the calculation formula converted in step S7 is:
I_σ0＝I*ω
Q_σ0＝Q*ω
wherein I and Q represent a real part and an imaginary part, respectively, and I _ sigma0And Q _ sigma0Respectively representing the real and imaginary parts after conversion.
5. The high-resolution three-signal data conversion method according to claim 1, wherein: further comprising: when the data is of a symmetric type, both the real part and the imaginary part are set to be average values.
6. The high-resolution three-signal data conversion method according to claim 1, wherein: further comprising: polarization type setting is carried out according to whether the polarization type is a symmetrical type, and if the polarization type is the symmetrical type, PolarcCase is set to be monostatic; if it is of asymmetric type, PolarcCase is set to static.
7. The high-resolution three-signal data conversion method according to claim 1, wherein: when a plurality of TIFF files are included in the video, the plurality of TIFF files are processed in parallel in steps S3 to S7.
8. The utility model provides a high branch third data conversion terminal equipment which characterized in that: comprising a processor, a memory and a computer program stored in said memory and running on said processor, said processor implementing the steps of the method according to any one of claims 1 to 7 when executing said computer program.
9. A computer-readable storage medium storing a computer program, characterized in that: the computer program when executed by a processor implementing the steps of the method as claimed in any one of claims 1 to 7.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114168079A (en) * 2021-12-09 2022-03-11 深圳软牛科技有限公司 Method, device and related assembly for identifying tiff type data deleted from disk
CN114595299A (en) * 2022-02-13 2022-06-07 厦门精图信息技术有限公司 Meta-universe space-time coding method based on KingMap MetaEarth

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3422828A1 (en) * 1984-06-20 1986-01-02 Robert Bosch Gmbh, 7000 Stuttgart DATA RECEIVER FOR RECORDED DATA
CN103425752A (en) * 2013-07-24 2013-12-04 浙江大学 Method for fast and comprehensively reading Radarsat-1 image data
CN107610054A (en) * 2017-07-13 2018-01-19 中国农业大学 A kind of preprocess method of remote sensing image data

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE3422828A1 (en) * 1984-06-20 1986-01-02 Robert Bosch Gmbh, 7000 Stuttgart DATA RECEIVER FOR RECORDED DATA
CN103425752A (en) * 2013-07-24 2013-12-04 浙江大学 Method for fast and comprehensively reading Radarsat-1 image data
CN107610054A (en) * 2017-07-13 2018-01-19 中国农业大学 A kind of preprocess method of remote sensing image data

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
郭奇胜: ""地形数据格式转换及其在视景仿真中应用"", 《计算机仿真》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114168079A (en) * 2021-12-09 2022-03-11 深圳软牛科技有限公司 Method, device and related assembly for identifying tiff type data deleted from disk
CN114168079B (en) * 2021-12-09 2023-08-22 深圳软牛科技有限公司 Method, device and related component for identifying tiff type data deleted from disk
CN114595299A (en) * 2022-02-13 2022-06-07 厦门精图信息技术有限公司 Meta-universe space-time coding method based on KingMap MetaEarth
CN114595299B (en) * 2022-02-13 2024-05-17 厦门精图信息技术有限公司 Meta-universe space-time coding method based on three-dimensional GIS platform

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