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An Object-Oriented Algorithm for Change Detection in Multispectral High Resolution Remote Sensing Images

A high-resolution, change detection technology, applied in the field of optical remote sensing image change detection, can solve the problems of efficiency and accuracy limitations, without considering object correlation, etc., to achieve the effect of improving accuracy and robust change detection results

Active Publication Date: 2021-11-30
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 Algorithm for Change Detection in Multispectral High Resolution Remote Sensing Images
  • An Object-Oriented Algorithm for Change Detection in Multispectral High Resolution Remote Sensing Images
  • An Object-Oriented Algorithm for Change Detection in Multispectral 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; 1 and x 2 Carry out image registration, which is divided into coarse correction and fine correction; use multivariate change detection MAD method to X 1 and x 2 Perform radiation normalization correction; segment based on SLIC algorithm; calculate difference images of multi-temporal images, use K-Means algorithm for clustering, and determine CRF unary energy item based on clustering results combined with SLIC segmentation objects; segment according to SLIC The image constructs the CRF neighborhood system, and constructs the binary term energy of the CRF according to the difference image and the spatial coordinates of the object; optimizes the CRF energy term U to obtain the final change detection result. The invention not only considers the spectral difference of adjacent objects, but also considers the spatial position relationship of adjacent objects, thereby improving the accuracy 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 Patents(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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