Hyperspectral Imaging
Hyperspectral Imaging
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DOI：
10.1007/978-1-4419-9170-6
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
Chein-I. Chang
中科院分区：
文献类型：
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作者：
Chein-I. Chang
高光谱成像：光谱检测和分类技术是巴尔的摩县马里兰州大学遥感信号和图像处理实验室多年来进行的研究的产物。它探讨了统计信号处理的高光谱成像的应用，并进一步发展非文字（光谱）的亚像素检测和混合像素分类技术。这本书是第一本关于这个主题的书，可以被认为是一本食谱，为高光谱数据开发提供了各种技术。特别是，一些已知的技术，如OSP（正交子空间投影）和CEM（约束能量最小化），以前开发的RSSIPL，进行了详细讨论。这本书是自成一体的，可以作为一个有价值的和有用的参考研究人员在学术界和从业人员在政府和工业。
Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral imaging and further develops non-literal (spectral) techniques for subpixel detection and mixed pixel classification. This text is the first of its kind on the topic and can be considered a recipe book offering various techniques for hyperspectral data exploitation. In particular, some known techniques, such as OSP (Orthogonal Subspace Projection) and CEM (Constrained Energy Minimization) that were previously developed in the RSSIPL, are discussed in great detail. This book is self-contained and can serve as a valuable and useful reference for researchers in academia and practitioners in government and industry.