A Method for Detection of Salient Object Changes in Remote Sensing Images

Abstract

The invention discloses a method for detecting changes of a remarkable target of a remote sensing image. The method comprises the steps that a remarkable target area is extracted from a reference image; the reference image and an input image are sampled, and sampling points are used for approximately representing the remarkable target area; DAISY characters of the sampling points are extracted; a plurality of candidate matching points are searched in a sampling point set of the input image for the sampling points of the reference image; an optimal matching point is searched in the corresponding candidate matching point set for a sampling point set of the remarkable target area, and the distance between optimal matching point sets serves as the change feature of the corresponding remarkable target area; whether an area, corresponding to the remarkable target area, in the input image changes or not is determined. By means of the method, a large amount of redundant information is filtered, practicability of detection on the changes of the remote sensing image is improved, description capacity and robustness for view angle conversion and registering errors of the area are improved, and inter-class divisibility of the change class and the non-change class is improved. The method can be widely applied to various fields such as disaster monitoring and target reconnaissance.

Description

technical field [0001] The invention relates to the technical fields of remote sensing image processing, change detection, target monitoring, etc., in particular to a method for detecting significant target changes in remote sensing images. Background technique [0002] Remote sensing image change detection automatically detects the changed target area by analyzing the registered remote sensing images of the same scene in different phases (the historical image is the reference image, and the current image is the input image), which can be widely used in intelligence processing, disaster Monitoring and other military and civilian fields. Remote sensing image change detection is not only driven by strong application requirements, but also has important strategic significance. Due to the importance of target monitoring technology, remote sensing image change detection technology has been highly valued by countries all over the world. [0003] Due to the complexity of multi-te...

AI Technical Summary

Problems solved by technology

Since areas such as background and vegetation are easily affected by factors such as seasons and noise, considering all areas will reduce the separability between changing and non-changing classes, resulting in many false alarms and missing alarms, which cannot meet the needs of practical applications.

How to effectively compare salient target areas and have better robustness to factors such as image distortion, viewing angle changes, registration errors, etc., there is currently no effective algorithm

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