Unlock instant, AI-driven research and patent intelligence for your innovation.

Method for detecting change of multidate remote-sensing image by combining CST (chi-squared transform) and level set method

A technology of change detection and remote sensing image, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of complex background information and noise interference of high spatial resolution remote sensing image

Inactive Publication Date: 2018-02-13
HOHAI UNIV
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems of complex background information and serious noise interference of high-spatial-resolution remote sensing images in the prior art, the purpose of the present invention is to provide a multi-temporal remote sensing image change detection method based on chi-square transformation combined with level set method, which has high measurement accuracy and The detection results are more reliable and more robust

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for detecting change of multidate remote-sensing image by combining CST (chi-squared transform) and level set method
  • Method for detecting change of multidate remote-sensing image by combining CST (chi-squared transform) and level set method
  • Method for detecting change of multidate remote-sensing image by combining CST (chi-squared transform) and level set method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0077] 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.

[0078] refer to figure 1 , the implementation steps of the present invention are as follows:

[0079] 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 .

[0080] Step 2: Use ENVI remote sensing software to measure X 1 and x 2 Image registration is divided into two steps: rough correction and fine correction:

[0081] 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 equal to 9. (3) C...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for detecting change of a multidate remote-sensing image by combining CST (chi-squared transform) and a level set method. The method comprises the following steps of firstly, calculating a multidate differential image of a multidate high-resolution image; on the basis, calculating a CST value by an iteration method, estimating a mean vector and a variance matrix ina non-change area, taking the obtained change detection result as the input of the level set method, and finally obtaining the change detection result embedded into space information. The method hasthe advantages that the measuring accuracy is high, the change detection result is more reliable, and higher robustness is realized.

Description

technical field [0001] The invention relates to a multi-temporal remote sensing image change detection method based on a chi-square transformation combined with a level set method, and belongs to the technical field of multi-temporal high-resolution optical remote sensing image change detection. 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-making basis for resource management and planning, environmental protection and other departments. my country's "Twelfth Five-Year Plan" will increase and expand the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T7/30G06T7/136G06T7/155G06T3/40G06T7/11
CPCG06T7/30G06T3/4023G06T7/11G06T7/136G06T7/155G06T2207/10032
Inventor 石爱业许磊
Owner HOHAI UNIV