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An object-oriented method for change detection of multi-spectral high-resolution remote sensing images

A high-resolution, change detection technology, applied in the field of optical remote sensing image change detection, which can solve the problems of efficiency and accuracy limitations, not considering object correlation, etc., to achieve the effect of improving accuracy and robust change detection results

Active Publication Date: 2019-02-01
HOHAI UNIV
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Problems solved by technology

However, this method is based on pixels, and the detection efficiency and accuracy have certain limitations.
The object-oriented chi-square transform-based detection method (OBCT) proposed by B.Desclée et al. can overcome the limitations of pixel-based change detection, but the object-oriented method does not consider the correlation between objects

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  • An object-oriented method for change detection of multi-spectral high-resolution remote sensing images
  • An object-oriented method for change detection of multi-spectral high-resolution remote sensing images
  • An object-oriented method for change detection of multi-spectral high-resolution remote sensing images

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[0064] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0065] refer to figure 1 , the implementation steps of the present invention are as follows:

[0066] Step 1: Input two high-resolution optical remote sensing images of the same area and different time phases, denoted as: X 1

[0067] and x 2 .

[0068] Step 2: use the remote sensing software ENVI to measure X 1 and x 2 Image registration is divided into two steps: rough correction and fine correction:

[0069] For geometric rough correction, use the relevant functions in ENVI4.8 software to realize, the specific operation steps are: (1) display the reference image and the image to be corrected; (2) collect ground control points GCPs; GCPs should be evenly distributed in the entire image , the number of GCPs is at least greater than or equa...

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Abstract

The invention discloses an object-oriented multi-spectral high-resolution remote sensing image change detection method, comprising the following steps: inputting two high-resolution optical remote sensing images of the same area and different time phases; Using remote sensing software ENVI for image registration of X1 and X2, divided into rough correction and fine correction; Radiation normalization correction of X 1 and X 2 by MAD method with multivariate change detection; Segmentation based on SLIC algorithm; Compute the difference images of multi-temporal images, and use K-Means algorithm to cluster, according to the clustering results and combined with the SLIC segmentation object to determine the CRF unitary energy terms; The neighborhood system of CRF is constructed according to thesegmented image of SLIC, and the binomial energy of CRF is constructed according to the difference image and the spatial coordinates of the object. The energy term U of CRF is optimized to obtain thefinal change detection results. The invention not only considers the spectral difference of adjacent objects, but also considers the spatial position relationship of adjacent objects, and improves theprecision of change detection.

Description

technical field [0001] The invention relates to an object-oriented, multi-temporal, multi-spectrum, high-resolution remote sensing image non-supervised change detection method based on a conditional random field (CRF), and belongs to the technical field of optical remote sensing image change detection. Background technique [0002] With the continuous accumulation of multi-temporal 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-making basis for resource management and planning, environmental protection and other departments. [0003] Change detection of remote sensing images is to quantitatively ana...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/30
CPCG06T7/0002G06T2207/10036G06T7/11G06T7/30
Inventor 石爱业王维王鑫马贞立
Owner HOHAI UNIV
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