A SAR image change detection method based on generalized Gaussian k&i

Abstract

The invention provides a method for detecting changes of SAR images of generalized Gaussian K&I. The method comprises the steps that (1) a difference chart for the two SAR images which are processed through registration, are located in the same region and have different time phases is made through an improved neighborhood ratio operator, and when processing is carried out on a neighborhood, pixels adjacent to a center pixel are not equally treated any longer, and different weights are given to the pixels according to the similarity between the pixels and the center pixel; (2) dichotomy operation is carried out on the obtained difference chart through a corrected K&I threshold segmentation method based on a generalized Gaussian model so that a changed portion and an unchanged portion can be obtained. According to the method for detecting the changes of the SAR images of the generalized Gaussian K&I, a local energy correction term is added to an indicator function in an original K&I method so that a reasonable threshold can be found for the neighborhood ratio difference chart through the local energy correction term; the sensitive problem of noise is solved to some extent, and the detection effect and detection accuracy are remarkably improved.

Description

technical field [0001] The invention belongs to the field of remote sensing image processing, relates to change detection of remote sensing images, and specifically provides a generalized Gaussian K&I SAR image change detection method, which can be used to detect SAR image changes. Background technique [0002] Synthetic aperture radar (SAR) has the characteristics of high resolution, all-day and all-weather work, and has unique advantages and irreplaceable functions compared with visible light and infrared sensors. It is widely used in industrial and agricultural production, scientific research and Military and other fields. Remote sensing image change detection is through the comparison and analysis of two remote sensing images in different periods, and according to the difference between the images, the required ground object change information is obtained. With the development of remote sensing technology, change detection technology has become an important branch of re...

AI Technical Summary

Problems solved by technology

At the same time, the spatial position of the change information can be determined and the type of change information can be provided, but this method is difficult to obtain the classification results of the same category of invariant information of different time-phase images, and the degree of change will be exaggerated

At the same time, the accuracy of change detection is reduced due to the classification accumulation error problem.

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