Automatic geometric correction and orthorectification method for multispectral remote sensing satellite images in mountainous areas
An orthorectification, remote sensing satellite technology, applied in instruments, character and pattern recognition, computer parts and other directions, can solve problems such as large geometric distortion and inability to accurately correct image distortion.
Active Publication Date: 2015-11-25
INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
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Therefore, using traditional algorithm principles to carry out geometric correction and orthorectification of mountainous side-view multispectral remote sensing satellite images with large geometric distortions and complex causes, such as multispectral remote sensing satellite images captured by China's domestic environmental disaster reduction satellite, cannot be corrected accurately Distortion in imagery, especially geometric distortion caused by terrain
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[0047] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments:
[0048] Taking the image processing of China's domestic environmental disaster mitigation satellite (model: HJ-1A / B) as an example, the present invention will be described in detail:
[0049] Such as Figure 5 As shown, the method of the present invention includes the following steps:
[0050] (1) Selection and stitching of reference images: a. Selection of reference images: reference images meet the following conditions: the overall cloud coverage is less than 5%; the registration error of images from different platforms and adjacent images is less than 0.5 pixels; b , Reference image stitching: stitching the near-infrared band of the reference image.
[0051] The reasons for meeting the above two conditions are as follows: The choice of reference image is the key to determining the geometric precision and orthorectification of the domestic environmental ...
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The invention discloses an automatic geometric correction and orthorectification method for multispectral remote sensing satellite images of a mountainous area. The method comprises the following steps of: selection and splicing of reference images; automatic selection of object points with same names; screening of the object points with same names, and geometric correction and orthorectification for correcting the images; precision evaluation; and output of the images. The multispectral remote sensing satellite images of the mountainous area, such as images of China domestic environment and disaster monitoring small satellite (with the model HJ-1A / B), have the characteristic of serious geometric distortion, but the automatic geometric correction and orthorectification method can be used for performing the orthorectification on the multispectral remote sensing satellite images of the mountainous area in mass and generating residual error reports of the coherent images by adopting a concept of the object points with same names to implement the geometric correction and orthorectification. The automatic geometric correction and orthorectification method has the advantages of high efficiency and precision, is very efficient when being used for processing the multispectral remote sensing satellite images with mass data of the mountainous area, can remarkably save manpower and material resources needed by the conventional remote sensing image processing process, and particularly is beneficial to the processing of the images of the China domestic environment and disaster monitoring small satellite.
Description
Technical field [0001] The invention relates to a geometric correction and orthorectification method for mountain multispectral remote sensing satellite images, in particular to an automatic geometric correction and orthorectification method for mountain multispectral remote sensing satellite images required in the field of aerospace, belonging to mountain multispectral The field of computer processing of remote sensing satellite images. Background technique [0002] The geometric correction and orthorectification of remote sensing satellite imagery is the basic work of remote sensing image preprocessing, and it is also a key step in the later application of remote sensing satellite imagery for ecological environment monitoring, disaster monitoring and evaluation. In practical applications, the geometric distortion of remote sensing satellite images is relatively serious. figure 1 Shows the principle of geometric distortion of typical remote sensing satellite images. The figure c...
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IPC IPC(8): G06K9/32
Inventor 李爱农边金虎蒋锦刚雷光斌
Owner INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI