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High mountain and valley region SAR geometric distortion identification method considering local incidence angle

A technology of geometric distortion and recognition method, applied in character and pattern recognition, using re-radiation, computer parts, etc., can solve the problems of failure to finely recognize geometric distortion and omission

Active Publication Date: 2021-10-15
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0005] In view of the above-mentioned deficiencies in the prior art, the SAR geometric distortion recognition method in alpine and canyon regions provided by the present invention, which takes into account local incident angles, solves the problem of omissions in traditional recognition of geometric distortion and failure to finely identify various geometric distortions

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  • High mountain and valley region SAR geometric distortion identification method considering local incidence angle
  • High mountain and valley region SAR geometric distortion identification method considering local incidence angle
  • High mountain and valley region SAR geometric distortion identification method considering local incidence angle

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Embodiment Construction

[0048] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0049] like figure 1 As shown, in one embodiment of the present invention, the SAR geometric distortion identification method in the alpine and canyon region considering the local incident angle includes the following steps:

[0050] S1. Collect SAR data and DEM data covering the target area, extract SAR satellite parameter information and terrain parameter information, and calculate the local incident angle of the SAR sat...

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Abstract

The invention discloses a high mountain and valley region SAR geometric distortion identification method considering a local incidence angle, and aims to solve the problems of omission in geometric distortion identification and failure in fine identification of various geometric distortions in a traditional method, so that various geometric distortions can be accurately and quantitatively identified, five common SAR geometric distortions including perspective contraction, active overlay, passive overlay, active shadow and passive shadow can be identified more comprehensively, finely and quantitatively, therefore, the application and development of the InSAR technology in the field of early recognition and monitoring of geological hidden danger are further promoted.

Description

technical field [0001] The invention belongs to the field of deformation monitoring in the technical industry, and in particular relates to a SAR geometric distortion recognition method in alpine and canyon regions in consideration of local incident angles. Background technique [0002] my country's mountainous and hilly areas account for about 65% of the country's land area, with complex geological conditions and frequent tectonic activities, resulting in frequent occurrence of geological disasters. According to the post-disaster survey, more than 70% of the geological disasters that caused catastrophic consequences are not within the known hidden danger points of geological disasters. Therefore, early identification and monitoring of hidden danger points of geological disasters is the most effective disaster prevention and mitigation measure. However, many hidden danger points of geological disasters are not easy to reach or even impossible to reach, and have the character...

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Application Information

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IPC IPC(8): G06K9/00G01S13/90G01B7/16
CPCG01S13/90G01B7/16
Inventor 戴可人史先琳卓冠晨
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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