Multitemporal Remote Sensing Images Change Detection Based on ICA

Zhong Jia-qiang; Wang Run-sheng

Volume 28 Issue 6

Jun. 2006

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Article Navigation > Journal of Electronics & Information Technology > 2006 > 28(6): 994-998

Zhong Jia-qiang, Wang Run-sheng. Multitemporal Remote Sensing Images Change Detection Based on ICA[J]. Journal of Electronics & Information Technology, 2006, 28(6): 994-998.

Citation:

Zhong Jia-qiang, Wang Run-sheng. Multitemporal Remote Sensing Images Change Detection Based on ICA[J]. Journal of Electronics & Information Technology, 2006, 28(6): 994-998.

Zhong Jia-qiang, Wang Run-sheng. Multitemporal Remote Sensing Images Change Detection Based on ICA[J]. Journal of Electronics & Information Technology, 2006, 28(6): 994-998.

Citation:

Zhong Jia-qiang, Wang Run-sheng. Multitemporal Remote Sensing Images Change Detection Based on ICA[J]. Journal of Electronics & Information Technology, 2006, 28(6): 994-998.

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Multitemporal Remote Sensing Images Change Detection Based on ICA

Received Date: 2004-11-04
Rev Recd Date: 2005-07-19
Publish Date: 2006-06-19

Abstract

Abstract

Change detection is the process of identifying differences in the state of an object or phenomenon by observing it at different times. by removing the correlation among multitemporal images, change information can be detected effectively. Independence Component Analysis (ICA) is a blind source separate technique appeared in recent years. It can reduce second and high-order dependences in observed data, and the independent components are statistically as independent as possible. In this paper, a multitemporal remote sensing images change detection approach based on ICA is proposed in this paper. Firstly, independence component images change are obtained based on the ICA transformation without any prior knowledge about change areas. Then, different kinds of land variation are located according to these independent source images. The experimental results in synthesize and real multitemporal images show the effectiveness of the proposed approach.

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References(1)

References

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