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

A change detection and remote sensing image technology, applied in the field of image processing, can solve the problems of large number of structures, low robustness, low detection accuracy, etc., and achieves the effects of fast speed, improved operation speed, and improved detection accuracy.

Inactive Publication Date: 2015-06-03
XIDIAN UNIV
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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 accurac

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  • Online learning based detection method for change of remote-sensing image
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[0037] The technical solutions and effects of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0038] refer to figure 1 , the implementation steps of the present invention are as follows:

[0039] Step 1. Acquire two remote sensing images.

[0040] These two remote sensing images are radiometrically corrected and geometrically registered remote sensing images of the same area at different times, denoted as X 1 and x 2 , the image size is I×J, where I is the number of rows of remote sensing images, and J is the number of columns of remote sensing images.

[0041] Step 2, using remote sensing image X 1 and x 2 Construct two difference images X L and x D .

[0042]Commonly used methods for constructing difference images include difference method, ratio method, mean ratio method, and logarithmic ratio method. The difference method is to compare the two remote sensing images pixel by pixel, and take the diffe...

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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...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/10032G06T2207/20081G06T2207/30181
Inventor 张建龙翟建峰李洁
Owner XIDIAN UNIV
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