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Multi-temporal remote sensing image change detection method based on adaptive chi-squared transform (CST)

A technology of change detection and remote sensing imagery, applied in image enhancement, image analysis, image data processing and other directions, it can solve the problems of noise interference and complex background information, and achieve the effect of good versatility

Active Publication Date: 2017-05-10
HOHAI UNIV
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Problems solved by technology

[0005] In order to solve the technical problems raised by the above-mentioned background technology, the present invention aims to provide a multi-temporal remote sensing image change detection method based on adaptive chi-square transform. The impact of complex background information and serious noise interference on spectral remote sensing images

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  • Multi-temporal remote sensing image change detection method based on adaptive chi-squared transform (CST)
  • Multi-temporal remote sensing image change detection method based on adaptive chi-squared transform (CST)
  • Multi-temporal remote sensing image change detection method based on adaptive chi-squared transform (CST)

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Embodiment Construction

[0053] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0054] like figure 1 As shown, a multi-temporal remote sensing image change detection method based on adaptive chi-square transform includes the following steps:

[0055] Step 1: Input two high-resolution optical remote sensing images of the same area and different time phases, denoted as: X 1 and x 2 .

[0056] Step 2: For X 1 and x 2 Image registration is divided into two steps: geometric coarse correction and geometric fine correction. For geometric rough correction, use the relevant functions in ENVI4.8 software to realize, the specific operation steps are:

[0057] (1) Display the reference image and the image to be corrected;

[0058] (2) Collect ground control points GCPs, GCPs should be evenly distributed in the entire image, and the number of GCPs should be at least greater than or equal to 9;

[0059] (3) Calculate the mean ...

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Abstract

The invention discloses a multi-temporal remote sensing image change detection method based on adaptive chi-squared transform (CST). Firstly, a differential image for a multi-temporal multispectral image is calculated, and on the basis, an adaptive method is used for estimating the mean value and the variance matrix of Gaussian distribution; the CST value of each point on the image is then calculated, an optimal threshold is found out based on an iterative method, and thus, the non-change area mean value and the variance matrix obtained after segmentation of the optimal threshold are the closest to results of adaptive estimation; and on the basis of the optimal segmentation threshold, a final change detection result is acquired. The adaptive chi-squared transform method is adopted to overcome influences brought by complicated background information and serious noise interference of the multi-temporal multispectral remote sensing image in the existing change detection technology.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing, and in particular relates to a multi-temporal remote sensing image change detection method based on adaptive chi-square transformation. 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 analyze and determine the characteristics and process of surface ch...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T7/30G06T7/10G06T5/50
CPCG06T5/50G06T2207/10032G06T2207/20004G06V20/13
Inventor 石爱业储艳丽
Owner HOHAI UNIV
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