SAR image change detection method based on iterative maximum between-class variance

Abstract

The invention discloses a SAR image change detection method based on the iterative maximum inter-class variance, which mainly solves the problem that in the prior art, when the change area accounts for a small part of the overall area, the detection will generate too many false alarm points, and its realization scheme is : 1. Obtain SAR images of the same area at different times and perform preprocessing; 2. Generate a logarithmic ratio difference map; 3. Iteratively use the maximum between-class variance method to search the difference map to find areas where the changing elements and non-changing elements are relatively uniform ; 4. Apply the segmentation threshold of this region to the whole image to obtain the segmentation result image; 5. Perform median filtering on the segmentation result image to obtain the final change detection result image. The invention solves the problem of too many false alarms in the maximum inter-class variance method when the histogram is a single peak, improves the operating efficiency, and can be used for fast SAR image change detection, especially for the detection of small-area change regions.

Description

Technical field [0001] The present invention belongs to the field of image processing, and more particularly to SAR image change detection, which can be used for fast SAR image variation detection, especially for small area change regions. Background technique [0002] Synthetic aperture radar SAR is a rapid development in recent years because of its advantages of all-day work capabilities and all-weather work capabilities, and is not affected by weather and light. SAR image change detection is to obtain changes in the same area of ​​different times, have a wide range of applications in environmental monitoring, agricultural surveys, urban research, disaster monitoring. Especially natural disasters, such as fires, floods ... Efficient change detection technology can timely avoid or reduce the loss of personal and property. [0003] The common variation detection method is mainly divided into two categories. One type is to change the image classification; the other is to change th...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art, and propose a SAR image change detection method based on iterative maximum inter-class variance to solve the problem of using the maximum inter-class variance method when the change area accounts for less than 10% of the overall area. Segmenting the difference map produces too many false alarm points to improve the accuracy of change detection

Images