Online learning based detection method for change of remote-sensing image

Abstract

The invention discloses an online learning based detection method for change of a remote-sensing image, and aims at solving the problems of unstable detection result and poor precision of the existing detection technology. The method comprises the following steps: acquiring two remote-sensing images; creating two differential images according to the types of the remote-sensing images; creating a training sample database for the first differential image and dividing to be an image block set in a video frame form; respectively detecting the change of each frame image block by a cascade classifier through the online learning strategy; then splicing the detection results of all frame image blocks to obtain the detecting result CM1 of the first differential image; processing the second differential image by the same way to obtain the detection result CM3; performing grey mapping for the detection results CM1 and CM2; fusing to obtain the fused differential image XF; clustering the XF to obtain the final change detection result. Through adoption of the method, the obtained detection results of the remote-sensing images of different types are high in robustness and high in precision; the method is applicable to urban planning.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a change detection method for SAR remote sensing images and optical remote sensing images. It can be used to monitor the utilization of ground coverage, urban development planning, natural disaster assessment and map update. Background technique [0002] Remote sensing image change detection aims to detect the changes between images in the same area at different times, that is, to detect the change information of the ground objects in the area over time. At present, remote sensing image change detection has been widely used in the assessment of natural disasters such as earthquakes, floods, mudslides and forest fires, the update of geospatial data in surveying and mapping, the investigation of illegal buildings, and the planning and construction of post-disaster reconstruction cities. [0003] The most common method of remote sensing image change detection is the change...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to propose a remote sensing image change detection method based on online learning to solve the disadvantages of low detection accuracy and low robustness of the unsupervised change detection method and the need to construct a large number of training samples for the supervised change detection method insufficient

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