Scene classification method based on interferometric synthetic aperture radar images

An interferometric synthetic aperture and radar image technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as inability to use scene classification correctly

Active Publication Date: 2018-12-14
NAT SPACE SCI CENT CAS
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Studies have shown (document [1]: L.Farro-Famil, E.Pottier, J.-S.Lee. Unsupervised classification of natural scenes from polarimetric interferometric SARdata. Frontiers of Remote Sensing Information Processing, C.H.Chen, Ed..Singapore, Singapore : World Scientific Publishing, 105-137, 2003), in the ca

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  • Scene classification method based on interferometric synthetic aperture radar images
  • Scene classification method based on interferometric synthetic aperture radar images
  • Scene classification method based on interferometric synthetic aperture radar images

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[0048] The present invention will be further described now in conjunction with accompanying drawing.

[0049] refer to figure 1 and figure 2 , a kind of scene classification method based on interferometric synthetic aperture radar image of the present invention comprises the following steps:

[0050] Step 1), read in the interferometric SAR image pair to be classified, divide it into several sub-image pairs, and record the coordinates of the center positions of each sub-image in the original image;

[0051] Step 2), relative to the sub-images constructed in step 1), use the fast coherence coefficient method to quickly obtain the offset with sub-pixel level accuracy between each group of sub-image pairs, and the coherence coefficient between the sub-image pairs under this offset;

[0052] Step 3), based on the offset extracted in step 2) and the image center position in step 1), construct a scatter relationship diagram between the offset and the center position, and estimate...

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Abstract

The invention discloses a scene classification method based on interferometric synthetic aperture radar images. The scene classification method comprises the steps of 1) reading a to-be-classified interferometric synthetic aperture radar image pair including a main image and an auxiliary image, dividing the image pair into a plurality of sub-image pairs, and recording coordinates of the center positions of sub-images in the original images; 2) quickly obtaining a sub-pixel-level-precision offset and a coherence coefficient between the sub-image pairs through a fast coherence coefficient method; 3) establishing a scattered point relation graph between the offset and the center positions, and estimating an offset principal value interval based on the scattered point distribution density; 4)establishing a scattered point relation graph between the coherence coefficient and the offset on the basis of the estimated offset and coherence coefficient, and determining a coherence coefficient judgment threshold based on the scattered point distribution; and 5) based on the offset principal value interval and the coherence coefficient judgment threshold, dividing target scattering of sub-image blocks of the main image into four different types, and performing marking by using different marks to form a final classification diagram.

Description

technical field [0001] The invention relates to an image classification method, in particular to a scene classification method based on an interference synthetic aperture radar image. Background technique [0002] Interferometric Synthetic Aperture Radar (InSAR) is an effective radar imaging system, which has been widely used in the fields of digital elevation inversion and surface deformation measurement. [0003] Existing scene classification algorithms mainly use the polarization scattering information of the target, and the use of target interference information is limited. Studies have shown (document [1]: L.Farro-Famil, E.Pottier, J.-S.Lee. Unsupervised classification of natural scenes from polarimetric interferometric SARdata. Frontiers of Remote Sensing Information Processing, C.H.Chen, Ed..Singapore, Singapore : World Scientific Publishing, 105-137, 2003), in the case of vegetation or forests with various types, heights and structures in the scene, the L-band and P...

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Application Information

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IPC IPC(8): G01S13/90G06T7/30
CPCG01S13/9023G06T2207/10044G06T7/30G01S13/9076
Inventor 李东张云华
Owner NAT SPACE SCI CENT CAS
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