CN104599285A - Water body information extraction method and device based on remote sensing image - Google Patents
Water body information extraction method and device based on remote sensing image Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
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Abstract
The invention provides a water body information extraction method and device based on a remote sensing image. The water body information extraction method includes acquiring the remote sensing image; according to the remote sensing image, utilizing a first algorithm to extract a first image of water body information, and utilizing a second algorithm to extract a second image of the water body information; performing and-operation on the first image and the second image to acquire an image of the water body information. By the water body information extraction method and device, accuracy of the water body information image is improved, and extraction errors are reduced.
Description
Technical field
The present invention relates to field of computer technology, particularly a kind of water body information method based on remote sensing images and device.
Background technology
Picture captured when remote sensing images are a kind of distance earth surface certain distances, includes a large amount of water bodys and non-water body part in remote sensing images.Wherein, surface water is a kind of very important water resource, and it plays very important effect in national economy, national product and life.
At present, can be extracted by the Water-Body Information of remote sensing images to surface water, wherein, the Water-Body Information of extraction can comprise lake, reservoir, river and streams etc.But utilize the precision of remote sensing images extraction Water-Body Information lower at present, the extraction error of Water-Body Information is larger.
Summary of the invention
In view of this, the invention provides a kind of water body information method based on remote sensing images and device, extract to solve in prior art the problem that Water-Body Information precision is lower, extraction error is larger.
The invention provides a kind of water body information method based on remote sensing images, comprising:
Obtain remote sensing images;
According to described remote sensing images, utilize the first algorithm to extract the first image of Water-Body Information, and utilize the second algorithm to extract the second image of Water-Body Information;
Described first image and the second image are carried out and operation, the image of the Water-Body Information obtained.
Preferably, described the first image utilizing the first algorithm to extract Water-Body Information, comprising:
Determine the extraction model extracting Water-Body Information image;
By following Formula Input Technology in described extraction model, to utilize described extraction model according to the first image of following formulae discovery Water-Body Information:
(TM2+TM3)-(TM4+TM5)>0
Wherein, TM2, TM3, TM4 and TM5 are respectively band value different in described remote sensing images.
Preferably, described the second image utilizing the second algorithm to extract Water-Body Information, comprising:
Determine the transformation model extracting Water-Body Information image;
By following Formula Input Technology in described transformation model, to utilize described transformation model according to following formulae discovery changing image:
Y＝cX+a
Wherein, Y is the pixel vector in multispectral space after conversion; X is the pixel vector in multispectral space before conversion; C is transformation matrix; A is constant;
Described changing image is carried out to the sampling of Water-Body Information, and proceed the sampling of Water-Body Information on the sampled images obtained, until reach set point number, the sampled images obtained finally sampling is as described second image.
Preferably, describedly described first image and the second image to be carried out and operation, the image of the Water-Body Information obtained, comprising:
Described first image is superposed on the same coordinate system with described second image, by the same coordinate system by the intersection of described first image and described second image, as the image of Water-Body Information.
Preferably, described according to described remote sensing images, utilize the first algorithm to extract the first image of Water-Body Information, and utilize before the second algorithm extracts the second image of Water-Body Information, comprise further:
One or more corrections in radiant correction, geometric approximate correction and geometric accurate correction are carried out to described remote sensing images.
Present invention also offers a kind of water body information device based on remote sensing images, comprising:
Acquiring unit, for obtaining remote sensing images;
Image extraction unit, for according to described remote sensing images, utilizes the first algorithm to extract the first image of Water-Body Information, and utilizes the second algorithm to extract the second image of Water-Body Information;
Logical operations unit, for described first image and the second image are carried out and operation, the image of the Water-Body Information obtained.
Preferably, described image extraction unit, for the first image utilizing the first algorithm to extract Water-Body Information, comprising: the extraction model determining to extract Water-Body Information image; By following Formula Input Technology in described extraction model, to utilize described extraction model according to the first image of following formulae discovery Water-Body Information:
(TM2+TM3)-(TM4+TM5)>0
Wherein, TM2, TM3, TM4 and TM5 are respectively band value different in described remote sensing images.
Preferably, described image extraction unit, for the second image utilizing the second algorithm to extract Water-Body Information, comprising: the transformation model determining to extract Water-Body Information image; By following Formula Input Technology in described transformation model, to utilize described transformation model according to following formulae discovery changing image:
Y＝cX+a
Wherein, Y is the pixel vector in multispectral space after conversion; X is the pixel vector in multispectral space before conversion; C is transformation matrix; A is constant;
Described changing image is carried out to the sampling of Water-Body Information, and proceed the sampling of Water-Body Information on the sampled images obtained, until reach set point number, the sampled images obtained finally sampling is as described second image.
Preferably, described logical operations unit, for described first image is superposed on the same coordinate system with described second image, by the same coordinate system by the intersection of described first image and described second image, as the image of Water-Body Information.
Preferably, comprise further:
Correcting unit, for utilizing in radiant correction, geometric approximate correction and geometric accurate correction, one or more correct described remote sensing images.
Embodiments provide a kind of water body information method based on remote sensing images and device, for remote sensing images, the first algorithm and the second algorithm is utilized to extract the image of two Water-Body Informations respectively, and utilize the image of two Water-Body Informations extracted to carry out obtaining with operation the image of Water-Body Information, thus improve the precision of the Water-Body Information image obtained, reduce extraction error.
Accompanying drawing explanation
Fig. 1 is the method flow diagram that the embodiment of the present invention provides;
Fig. 2 is the method flow diagram that another embodiment of the present invention provides;
Fig. 3 is the schematic diagram of the image 1 that the embodiment of the present invention provides;
Fig. 4 is the schematic diagram of the image 2 that the embodiment of the present invention provides;
Fig. 5 is the image schematic diagram of the Water-Body Information that the embodiment of the present invention provides;
Fig. 6 is the hardware structure figure of the device place equipment that the embodiment of the present invention provides;
Fig. 7 is the apparatus structure schematic diagram that the embodiment of the present invention provides;
Fig. 8 is the apparatus structure schematic diagram that another embodiment of the present invention provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described.Obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
As shown in Figure 1, embodiments provide a kind of water body information method based on remote sensing images, the method can comprise the following steps:
Step 101: obtain remote sensing images.
Step 102: according to described remote sensing images, utilizes the first algorithm to extract the first image of Water-Body Information, and utilizes the second algorithm to extract the second image of Water-Body Information.
Step 103: described first image and the second image are carried out and operation, the image of the Water-Body Information obtained.
According to such scheme, for remote sensing images, the first algorithm and the second algorithm is utilized to extract the image of two Water-Body Informations respectively, and utilize the image of two Water-Body Informations extracted to carry out obtaining with operation the image of Water-Body Information, thus improve the precision of the Water-Body Information image obtained, reduce extraction error.
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with drawings and the specific embodiments, the present invention is described in further detail.
As shown in Figure 2, embodiments provide a kind of water body information method based on remote sensing images, the method can comprise the following steps:
Step 201: the remote sensing images obtaining Water-Body Information to be extracted.
In the present embodiment, according to the region of the Water-Body Information to be extracted preset, there are apart from this region the remote sensing images in this region of height photographs of setpoint distance.Wherein, the remote sensing images of shooting comprise non-water body and water body part.The object of the present embodiment is by the water body extracting section in remote sensing images out.
Step 202: the remote sensing images obtained are corrected, and perform step 203 and step 204 respectively according to the remote sensing images after correcting.
In the present embodiment, one or more corrections in radiant correction, geometric approximate correction and geometric accurate correction can be carried out to remote sensing images.
In the present embodiment, radiant correction can comprise: judge striped, eliminate striped, judge spot, eliminate in spot, atmospheric correction, the radiant correction of sensor and illuminance correction one or more.Wherein, the method of judgement striped whether exceedes certain predetermined threshold with the margin of measurement of pixel between adjacent lines, eliminating the method for striped is averaged by corresponding for neighbouring for striped two scan lines images light intensity value, with corresponding images light intensity value on most proximal point algorithm or cubic convolution method determination striped.The method that spot judges is that the method eliminating spot is that the mean filter or cubic convolution method correct by being compared by contiguous to images light intensity value and its images light intensity value.Atmospheric correction adjusts remote sensing images measured value according to atmospheric condition, and eliminate atmospheric effect, atmospheric condition is model atmosphere or the ground field data of standard.The original DN value of record is converted to air superficies reflectivity to eliminate the error of sensor generation itself by radiation calibration by the radiant correction of sensor, and radiation calibration is the process voltage of sensor record or digital value being converted to absolute radiation brightness.Illuminance correction mainly corrects the radiation distortion of the topographic shadowing that radiation distortion caused by different sun altitude and topographic relief cause etc., and comprising (1) sun altitude corrects; (2) illuminance correction that different picture is secondary.
In the present embodiment, geometric approximate correction is the correction carried out for causing the reason of distortion, wherein, and one or more during geometric approximate correction can comprise the steps:
1, data encasement.Wherein, the data prepared are needed can to comprise the Collection and analysis of resource geodesy achievement, satellite image data, aviation image data, spacecraft orbit parameter and sensor attitude parameter, the selection at required reference mark and measurement etc.
2, input and show remote sensing image.The data of remote sensing images are read in computing machine, and shows on the screen of computing machine.Such as, the form usually used in ERDAS software is .img.
3, determine to correct transformation model.Wherein, the coordinate relation that transformation model is used to the image changed in input computing machine is corrected.Utilize and correct the transformation model method carrying out correcting and can have multiple, generally have method of interpolation in polynomial method, random field and collinearity equation method etc.Because polynomial method principle is relatively directly perceived, can be applied in a lot of calibration models, uses more convenient, thus polynomial method is that the spatial transform method of the most frequently used Image correction in remote sensing is distant.By ground reference mark, can obtain correcting the related coefficient in transforming function transformation function.These parameters also can utilize the internal and external orientation, satellite orbit parameter, sensor attitude parameter etc. of aviation image.
4, image output scope is determined.The scope of image output must be correct, the image after correcting can be made like this to be arranged in the scope of definition, and the area of blank image can be little as far as possible.Otherwise, the image after this scope can be caused all not comprise correction, the blank too much problem of image output.
5, Pixel domain coordinate transform.Pixel domain coordinate transform be each pixel on original image one by one transform on the corresponding pixel of image output, in this process, to correct according to certain correction function.Wherein, bearing calibration is divided into directly correction and indirectly corrects.In direct correction, heavily mate by gray scale and obtain the rear pixel of correction, it obtains the tram of pixel in standard picture in original image, and the images light intensity value of original image is moved on on tram.And indirect method is called gray resample, it goes out its conjugate position in original distortion image space by the pixel point reverse each to be output in standard picture space, utilize interpolating method to determine the brightness value of this conjugate position simultaneously, and the images light intensity value of this position is inserted the locus of correcting image.
6, the gray resample of pixel.A secondary correcting image is generated by the pixel value of original remote sensing images.In original remote sensing images, all raster data layers will carry out resampling.Conventional method has most neighbor interpolation method, bilinear interpolation method, cubic convolution interpolating method, and ERDAS IMAGINE provides four kinds of method for resampling.
In the present embodiment, geometric accurate correction is the geometry correction utilizing ground control point to carry out, it is the geometric distortion process carrying out approximate description remote sensing images by a kind of mathematical model, and utilize some corresponding point between standard picture and the remote sensing images of distortion (ground control point data to) to try to achieve these geometric distortion models, then utilize this model to carry out the correction of geometric distortion.
Step 203: utilize the first algorithm to extract the image 1 of Water-Body Information, and perform step 205.
In the present embodiment, according to the remote sensing images after the correction that step 202 obtains, the first algorithm can be utilized to extract the image of Water-Body Information, wherein, using the image of this Water-Body Information of extraction as image 1.
Particularly, first determine the extraction model extracting Water-Body Information image, secondly, following formula (1) be input in extraction model, calculate image 1 to utilize extraction model according to formula (1):
(TM2+TM3)-(TM4+TM5)>0 (1)
Wherein, TM2, TM3, TM4 and TM5 are respectively band value different in described remote sensing images.
Further, formula (1) also can utilize the band value being not less than 4 to calculate, and computational accuracy is higher.
As shown in Figure 3, be the schematic diagram of image 1.
Step 204: utilize the second algorithm to extract the image 2 of Water-Body Information, and perform step 205.
In the present embodiment, according to the remote sensing images after the correction that step 202 obtains, the second algorithm can be utilized to extract the image of Water-Body Information, wherein, using the image of this Water-Body Information of extraction as image 2.
Particularly, the transformation model extracting Water-Body Information image is first determined; Secondly, following formula (2) is input in transformation model, calculates changing image to utilize transformation model according to following formula (2):
Y＝cX+a (2)
Wherein, Y is the pixel vector in multispectral space after conversion; X is the pixel vector in multispectral space before conversion; C is transformation matrix; A is constant.
Again, changing image is carried out to the sampling of Water-Body Information, and proceed the sampling of Water-Body Information on the sampled images obtained, until reach set point number, the sampled images obtained finally sampling is as the second image.Such as, the number of times of setting is 3 times and setting sampling threshold 1, as: 5.5, so first time, utilize the sampling threshold of setting changing image to be carried out to the sampling of Water-Body Information, obtain sampled images 1; Utilize the sampling threshold of setting sampled images 1 to be carried out to the sampling of Water-Body Information, obtain sampled images 2; Utilize the sampling threshold of setting, sampled images 2 carried out to the sampling of Water-Body Information, obtain sampled images 3, because sampling number has reached the number of times of setting, therefore, can using the image 2 of sampled images 3 as the Water-Body Information utilizing the second algorithm to extract.
As shown in Figure 4, be the schematic diagram of image 2.
Step 205: image 1 and image 2 are carried out and operation, obtains the image of Water-Body Information.
In the present embodiment, in order to the image utilizing remote sensing images can obtain more accurate Water-Body Information, more accurate image 1 and image 2 can be carried out logical "and" operation, the image generated by AND-operation as the image of final Water-Body Information, thus makes the precision of images of Water-Body Information higher.Wherein, the process of image 1 and image 2 being carried out to logical "and" operation can comprise: superposed on the same coordinate system with image 2 by image 1, by the same coordinate system by image 1 intersection with image 2, as the image of Water-Body Information.Or, utilize the mode of coordinate equally, all coordinate system is put under at image 1 and image 2, the part of the Water-Body Information in image 1 and image 2 is embodied in a coordinate system, if on certain coordinate figure, image 1 and image 2 all have Water-Body Information, so image 1 and image 2 are carried out with operation after the image of Water-Body Information that obtains comprises Water-Body Information on this coordinate figure; Otherwise, image 1 and image 2 are carried out with operation after the image of Water-Body Information that obtains does not comprise Water-Body Information on this coordinate figure.
As shown in Figure 5, the image schematic diagram of Water-Body Information for obtaining after carrying out AND-operation to image 1 and image 2.
According to such scheme, for remote sensing images, the first algorithm and the second algorithm is utilized to extract the image of two Water-Body Informations respectively, and utilize the image of two Water-Body Informations extracted to carry out obtaining with operation the image of Water-Body Information, thus improve the precision of the Water-Body Information image obtained, reduce extraction error.
As shown in Figure 6, Figure 7, a kind of water body information device based on remote sensing images is embodiments provided.Device embodiment can pass through software simulating, also can be realized by the mode of hardware or software and hardware combining.Say from hardware view; as shown in Figure 6; for the embodiment of the present invention is based on a kind of hardware structure diagram of the water body information device place equipment of remote sensing images; except the processor shown in Fig. 6, internal memory, network interface and nonvolatile memory; in embodiment, the equipment at device place can also comprise other hardware usually, as the forwarding chip etc. of responsible process message.For software simulating, as shown in Figure 7, as the device on a logical meaning, be by the CPU of its place equipment, computer program instructions corresponding in nonvolatile memory is read operation in internal memory to be formed.The water body information device 70 based on remote sensing images that the present embodiment provides comprises:
Acquiring unit 701, for obtaining remote sensing images;
Image extraction unit 702, for according to described remote sensing images, utilizes the first algorithm to extract the first image of Water-Body Information, and utilizes the second algorithm to extract the second image of Water-Body Information;
Logical operations unit 703, for described first image and the second image are carried out and operation, the image of the Water-Body Information obtained.
Further, described image extraction unit 702, for the first image utilizing the first algorithm to extract Water-Body Information, comprising: the extraction model determining to extract Water-Body Information image; By following Formula Input Technology in described extraction model, to utilize described extraction model according to the first image of following formulae discovery Water-Body Information:
(TM2+TM3)-(TM4+TM5)>0
Wherein, TM2, TM3, TM4 and TM5 are respectively band value different in described remote sensing images.
Further, described image extraction unit 702, for the second image utilizing the second algorithm to extract Water-Body Information, comprising: the transformation model determining to extract Water-Body Information image; By following Formula Input Technology in described transformation model, to utilize described transformation model according to following formulae discovery changing image:
Y＝cX+a
Wherein, Y is the pixel vector in multispectral space after conversion; X is the pixel vector in multispectral space before conversion; C is transformation matrix; A is constant;
Described changing image is carried out to the sampling of Water-Body Information, and proceed the sampling of Water-Body Information on the sampled images obtained, until reach set point number, the sampled images obtained finally sampling is as described second image.
Further, described logical operations unit, for described first image is superposed on the same coordinate system with described second image, by the same coordinate system by the intersection of described first image and described second image, as the image of Water-Body Information.
In an embodiment of the invention, as shown in Figure 8, the water body information device based on remote sensing images may further include:
Correcting unit 801, for utilizing in radiant correction, geometric approximate correction and geometric accurate correction, one or more correct described remote sensing images.
The content such as information interaction, implementation between each unit in the said equipment, due to the inventive method embodiment based on same design, particular content can see in the inventive method embodiment describe, repeat no more herein.
It should be noted that, in this article, the relational terms of such as first and second and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element " being comprised " limited by statement, and be not precluded within process, method, article or the equipment comprising described key element and also there is other same factor.
One of ordinary skill in the art will appreciate that: all or part of step realizing said method embodiment can have been come by the hardware that programmed instruction is relevant, aforesaid program can be stored in the storage medium of embodied on computer readable, this program, when performing, performs the step comprising said method embodiment; And aforesaid storage medium comprises: ROM, RAM, magnetic disc or CD etc. various can be program code stored medium in.
Finally it should be noted that: the foregoing is only preferred embodiment of the present invention, only for illustration of technical scheme of the present invention, be not intended to limit protection scope of the present invention.All any amendments done within the spirit and principles in the present invention, equivalent replacement, improvement etc., be all included in protection scope of the present invention.
Claims (10)
1., based on a water body information method for remote sensing images, it is characterized in that, comprising:
Obtain remote sensing images;
According to described remote sensing images, utilize the first algorithm to extract the first image of Water-Body Information, and utilize the second algorithm to extract the second image of Water-Body Information;
Described first image and the second image are carried out and operation, the image of the Water-Body Information obtained.
2. method according to claim 1, is characterized in that, described the first image utilizing the first algorithm to extract Water-Body Information, comprising:
Determine the extraction model extracting Water-Body Information image;
By following Formula Input Technology in described extraction model, to utilize described extraction model according to the first image of following formulae discovery Water-Body Information:
(TM2+TM3)-(TM4+TM5)>0
Wherein, TM2, TM3, TM4 and TM5 are respectively band value different in described remote sensing images.
3. method according to claim 1, is characterized in that, described the second image utilizing the second algorithm to extract Water-Body Information, comprising:
Determine the transformation model extracting Water-Body Information image;
By following Formula Input Technology in described transformation model, to utilize described transformation model according to following formulae discovery changing image:
Y＝cX+a
Wherein, Y is the pixel vector in multispectral space after conversion; X is the pixel vector in multispectral space before conversion; C is transformation matrix; A is constant;
Described changing image is carried out to the sampling of Water-Body Information, and proceed the sampling of Water-Body Information on the sampled images obtained, until reach set point number, the sampled images obtained finally sampling is as described second image.
4. method according to claim 1, is characterized in that, describedly described first image and the second image is carried out and operation, and the image of the Water-Body Information obtained, comprising:
Described first image is superposed on the same coordinate system with described second image, by the same coordinate system by the intersection of described first image and described second image, as the image of Water-Body Information.
5. according to described method arbitrary in Claims 1-4, it is characterized in that, described according to described remote sensing images, utilize the first algorithm to extract the first image of Water-Body Information, and utilize before the second algorithm extracts the second image of Water-Body Information, comprise further:
One or more corrections in radiant correction, geometric approximate correction and geometric accurate correction are carried out to described remote sensing images.
6., based on a water body information device for remote sensing images, it is characterized in that, comprising:
Acquiring unit, for obtaining remote sensing images;
Image extraction unit, for according to described remote sensing images, utilizes the first algorithm to extract the first image of Water-Body Information, and utilizes the second algorithm to extract the second image of Water-Body Information;
Logical operations unit, for described first image and the second image are carried out and operation, the image of the Water-Body Information obtained.
7. device according to claim 6, is characterized in that, described image extraction unit, for the first image utilizing the first algorithm to extract Water-Body Information, comprising: the extraction model determining to extract Water-Body Information image; By following Formula Input Technology in described extraction model, to utilize described extraction model according to the first image of following formulae discovery Water-Body Information:
(TM2+TM3)-(TM4+TM5)>0
Wherein, TM2, TM3, TM4 and TM5 are respectively band value different in described remote sensing images.
8. device according to claim 6, is characterized in that, described image extraction unit, for the second image utilizing the second algorithm to extract Water-Body Information, comprising: the transformation model determining to extract Water-Body Information image; By following Formula Input Technology in described transformation model, to utilize described transformation model according to following formulae discovery changing image:
Y＝cX+a
Wherein, Y is the pixel vector in multispectral space after conversion; X is the pixel vector in multispectral space before conversion; C is transformation matrix; A is constant;
Described changing image is carried out to the sampling of Water-Body Information, and proceed the sampling of Water-Body Information on the sampled images obtained, until reach set point number, the sampled images obtained finally sampling is as described second image.
9. device according to claim 6, it is characterized in that, described logical operations unit, for described first image is superposed on the same coordinate system with described second image, by on the same coordinate system by the intersection of described first image and described second image, as the image of Water-Body Information.
10., according to described device arbitrary in claim 6 to 9, it is characterized in that, comprise further:
Correcting unit, for utilizing in radiant correction, geometric approximate correction and geometric accurate correction, one or more correct described remote sensing images.
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| CN105046087A (en) * | 2015-08-04 | 2015-11-11 | 中国资源卫星应用中心 | Water body information automatic extraction method for multi-spectral image of remote sensing satellite |
| CN105046087B (en) * | 2015-08-04 | 2017-12-08 | 中国资源卫星应用中心 | A kind of Water-Body Information extraction method of remote sensing satellite multispectral image |
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