A Approach to Change Detection for HR Image

Zuo Wei Huang; Shu Guang Wu; Tao Xin Zhang

doi:10.4028/www.scientific.net/AMR.971-973.1449

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 971-973A Approach to Change Detection for HR Image

A Approach to Change Detection for HR Image

Abstract:

Hyperspectral remote sensing is the multi-dimensional information obtaining technology,which combines target detection and spectral imaging technology together, In order to accord with the condition of hyperspectral imagery，the paper developed an optimized ICA algorithm for change detection to describe the statistical distribution of the data. By processing these abundance maps, change of different classes of objects can be obtained..A approach is capable of self-adaptation, and can be applied to hyperspectral images with different characteristics. Experiment results demonstrate that the ICA-based hyperspectral change detection performs better than other traditional methods with a high detection rate and a low false detection rate.

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Periodical:

Advanced Materials Research (Volumes 971-973)

Pages:

1449-1453

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.971-973.1449

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Online since:

June 2014

Authors:

Zuo Wei Huang*, Shu Guang Wu, Tao Xin Zhang

Keywords:

Abundance Nonnegative Constraint( ANC), Change Detection, High Resolution (HR), Independent Component Analysis (ICA)

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References

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