Object-Oriented Change Detection Method of High Resolution Remote Sensing Imagery Based on Fusion Strategy

A high-resolution, object-oriented technology, applied in the fields of high-resolution remote sensing image change detection and high-spatial-resolution optical remote sensing image change detection, which can solve the problems of lack of target prior information and complex high-resolution image detection environment. , to achieve robust and reliable results

Inactive Publication Date: 2016-07-06
HOHAI UNIV +1
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Problems solved by technology

Although these detection methods have certain potential, the complexity of the high-resolution image detection environment and the lack of prior information of the target cause these algorithms to have certain limitations.

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  • Object-Oriented Change Detection Method of High Resolution Remote Sensing Imagery Based on Fusion Strategy
  • Object-Oriented Change Detection Method of High Resolution Remote Sensing Imagery Based on Fusion Strategy
  • Object-Oriented Change Detection Method of High Resolution Remote Sensing Imagery Based on Fusion Strategy

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Embodiment Construction

[0024] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0025] Such as figure 1 As shown, the object-oriented high-resolution remote sensing image change detection method based on the fusion strategy, the implementation steps are as follows:

[0026] Step 1: Input high-resolution optical remote sensing images that have been registered in two temporal phases, denoted as: X 1 and x 2 .

[0027] Step 2: Perform multi-resolution segmentation on the input high-resolution image, at scale h sc Next, the multi-resolution segmentation adopted includes the f...

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Abstract

The invention discloses an object-oriented high-resolution remote sensing image change detection method based on a fusion strategy, which inputs a high-resolution optical remote sensing image that has been registered in two temporal phases, and performs multi-resolution segmentation on the input high-resolution image; Segmented units (objects) are detected for changes, and the mean and variance of each object are calculated; the mean and variance of all objects are combined to form a new vector, and the changed and non-changed areas of the image are determined according to the chi-square distribution; Voting-based fusion of test results to obtain more robust and accurate change detection results.

Description

technical field [0001] The present invention relates to high spatial resolution optical remote sensing image change detection, specifically an object-oriented high resolution remote sensing image change detection method based on fusion strategy, which can be used to solve the high spatial resolution multispectral remote sensing image change detection accuracy The problem that is not high belongs to the field of remote sensing image processing technology. Background technique [0002] With the continuous accumulation of multi-temporal high-resolution remote sensing data and the successive establishment of spatial databases, how to extract and detect change information from these remote sensing data has become an important research topic in remote sensing science and geographic information science. According to remote sensing images of different time phases in the same area, dynamic information such as cities and environments can be extracted to provide scientific decision-mak...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 石爱业夏晨阳申邵洪吴国宝程学军文雄飞陈鹏霄
Owner HOHAI UNIV
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