Polarimetric SAR (synthetic aperture radar) change detection method based on scattering features and low-rank sparse model

Abstract

The invention discloses a polarimetric SAR (synthetic aperture radar) change detection method based on scattering power features and a low-rank sparse model. The invention aims to solve the problems of high missing detection rate and low separability of difference images in the prior art. The process of the method of the invention includes the following steps that: 1) a first time phase coherence matrix T1 and a second phase coherence matrix T2 are extracted: 2) Freeman decomposition and registration are performed on T1 and T2, so that an input image I1 of a first time phase and an input image I2 of a second time are obtained; (3) I1 and I2 are adopted to construct a change image sequence I; (4) a low-rank sparse decomposition method is adopted to decompose the change image sequence I into the sum of three sub image sequences, namely, a low-rank image sequence L, a sparse image sequence S and a noise image sequence G; (5) the sparse image sequence S is fused, so that difference images are obtained; and 6) a fuzzy C-means method is adopted to cluster the difference images, so that the result image of change detection is obtained. The method of the invention has the advantages of strong noise resistance, low missing detection rate and high detection precision, and can be applied to urban planning, natural disaster assessment and climate change monitoring.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a change detection method of a polarimetric SAR image, which can be applied to urban planning, ecological environment investigation and evaluation of natural disasters. Background technique [0002] Polarization synthetic aperture radar POLSAR image change detection is a remote sensing image processing technology that extracts change information from two polarimetric SAR images at the same place at different times, generates a difference map, and determines ground object change information. Polarization SAR can receive echo signals of four channels, and it can more comprehensively represent the scattering mechanism of the target, so the amount of information contained in its image is much larger than that of single-channel SAR image. In recent years, polarimetric SAR image change detection has become a new research direction in image processing research, and ...

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Problems solved by technology

However, the disadvantage of this kind of method is that it cannot make full use of the scattering information of polarimetric SAR.

[0007] At present, many studies are carried out along the direction of the third type of method, and this type of method needs to determine whether the polarization target is coherent before decomposition when using the polarization target decomposition model, in order to obtain good polarization characteristics , however, it is not easy to judge whether the polarized target is coherent before decomposition; at the same time, because this type of method does not use the spatial information of the image and does not consider the influence of noise when extracting the difference map, the detection result is inaccurate

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