SAR image change detection method based on non-local cv model

Abstract

The invention discloses a method for detecting SAR image changes based on a non-local CV model. The implementation method comprises following steps: (1) inputting two SAR images of a same area at different times to form a difference chart; (2) drawing rectangular profile curves on the difference chart and initializing a level set function; (3) calculating grey level average values of an internal area and an external area; (4) establishing total energy function E based on non-neighborhood information and regional information; (5) obtaining new level set function [phi]n+1 by minimizing E and updating level set function [phi] through the gradient descent method and using the new level set function to divide the difference chart X; (6) determining whether the current [phi]n+1 can make the total energy function E reach a minimum value or not; if the current [phi]n+1 can make the total energy function E reach a minimum value, the iteration is stopped and final change detection results are output; otherwise, returning to step 3. The method is more sensitive to difference positions; the robustness of initialization and image quality are increased.

Description

technical field

[0001] The invention belongs to the field of images, and mainly solves the problem of change detection of remote sensing images, and specifically relates to a change detection model based on non-neighborhood statistical active contours to realize change detection of SAR images. Background technique

[0002] With the development of a series of optical and radar satellite operation services, a large amount of remote sensing data has been continuously accumulated, and various spatial databases based on remote sensing image data have been established successively. Through further analysis, processing and interpretation of these image data, the image data obtained by remote sensing technology can be transformed into useful information, and then serve various fields of the national economy.

[0003] The change detection technology of remote sensing images is an important part of remote sensing image research. It uses image processing and pattern recognition to comp...

Images