多时相航空高光谱图像变化检测的无监督线性解混

International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005. Pub Date : 2005-05-16 DOI:10.1109/AMTRSI.2005.1469856

Q. Du, L. Wasson, R. King

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引用次数: 34

摘要

研究了多时相航空高光谱图像的线性解混变化检测技术。讨论了几个实际实施问题。利用CASI数据进行的初步研究表明，在噪声水平适中、端元先验信息已知的情况下，该方法是可行的。关键词:线性混合模型;无监督线性分解;变化检测;多时相航空高光谱图像。

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Unsupervised linear unmixing for change detection in multitemporal airborne hyperspectral imagery

The linear unmixing technique is investigated for change detection in multitemporal airborne hyperspectral imagery. Several practical implementation issues are discussed. The preliminary study using the CASI data shows its feasibility when the noise level is moderate and some prior information about endmembers is known. Keywords— linear mixture model; unsupervised linear unmixing; change detection; multitemporal airborne hyperspectral imagery.

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International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, 2005.

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