Spectral curve fitting for automatic hyperspectral data analysis
نویسندگان
چکیده
منابع مشابه
Application of Curve Fitting in Hyperspectral Data Classification and Compression
Regarding to the high between-band correlation and large volumes of hyperspectral data, feature reduction (either feature selection or extraction) is an important part of classification process for this data type. A variety of feature reduction methods have been developed using spectral and spatial domains. In this paper, a feature extracting technique is proposed based on rational function cur...
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With the number of channels in the hundreds instead of in the tens hyperspectral imagery possesses much richer spectral information than multispectral imagery .The increased dimensionality of such hyperspectral data provides a challenge to the current technique for analyzing data. Conventional classification methods may not be used without dimension reduction preprocessing. Supervised classific...
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ژورنال
عنوان ژورنال: IEEE Transactions on Geoscience and Remote Sensing
سال: 2006
ISSN: 0196-2892
DOI: 10.1109/tgrs.2006.870435