Research of Image Change Detection Method Based on Spatial Autocorrelation Statistics

Bing Xu; Zhen De Li

doi:10.4028/www.scientific.net/AMR.864-867.2808

Paper Titles

Establishment of High Precision Horizontal and Vertical Control Network in Zoucheng City
p.2787

Texture Mapping Method of Laser Point Cloud and Digital Image Based on Projection Transformation
p.2792

Soil Erosion Research Based on RS and USLE in Great Khinggan
p.2799

Study on Path Selection of Emergency Rescue Based on GIS
p.2804

Research of Image Change Detection Method Based on Spatial Autocorrelation Statistics
p.2808

A Node Design for Wireless Multi-Mode Sensor
p.2812

Research Advance in Remote Sensing to Land Desertification Monitoring
p.2817

Study on Identification of Thunderstorm Gale Based on Fuzzy-Logical Principle and Radar Mosaic Data
p.2821

The Application of GIS in Analysis of Gross Agricultural Production: A Case Study of Hainan Island, China
p.2825

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 864-867Research of Image Change Detection Method Based on...

Research of Image Change Detection Method Based on Spatial Autocorrelation Statistics

Abstract:

It is difficult for the existing image change detection algorithms to achieve fast change detection, due to their complexities and large calculated quantities. It applied the spatial autocorrelation statistics method in the image change detection, and identified potential changes in the image area by comparing the spatial autocorrelation coefficients of images acquired at different times. With this method utilized in the change detection of the coral reef ecosystem, it detected the changes of two scene TM images. The results have validated the simplicity and accuracy of this method.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 864-867)

Pages:

2808-2811

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.864-867.2808

Citation:

Cite this paper

Online since:

December 2013

Authors:

Bing Xu, Zhen De Li

Keywords:

Change Detection, Multi-Temporal Images, Spatial Autocorrelation, Spatial Statistics

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Songlin Zhang, Kun Zhang. Journal of Geodesy and Geodynamics, Vol. 27(2007), pp.31-34 (In Chinese).

Google Scholar

[2] Xinsheng Fan , Longgen Ying. Advance in Earth Science, Vol. 20(2005), pp.282-291 (In Chinese).

Google Scholar

[3] Getis, A. Spatial dependence and heterogeneity and proximal data-bases. Spatial analysis and GIS Vol. 3(1994), pp.105-120.

DOI: 10.4324/9780203221563_chapter_6

Google Scholar

[4] Anselin, L. Local indicators of spatial association-LISA. Geo-graphical Analysis, Vol. 27(1995), pp.93-115.

Google Scholar

[5] Getis, A., and Ord, J.K. The Analysis of Spatial Association by Use of Distance Statistics. Geographical Analysis, Vol. 24(1992), pp.211-224.

DOI: 10.1111/j.1538-4632.1992.tb00261.x

Google Scholar

[6] Mumby P J, Skiving W, Strong A E. Remote sensing of coral reefs anti their physical environment. Marine Pollution Bulletin, Vol. 48(2004), pp.219-228.

DOI: 10.1016/j.marpolbul.2003.10.031

Google Scholar