Morphological Principal Component Analysis for Hyperspectral Image Analysis
نویسندگان
چکیده
منابع مشابه
Morphological Principal Component Analysis for Hyperspectral Image Analysis
This article deals with the issue of reducing the spectral dimension of a hyperspectral image using principal component analysis (PCA). To perform this dimensionality reduction, we propose the addition of spatial information in order to improve the features that are extracted. Several approaches proposed to add spatial information are discussed in this article. They are based on mathematical mo...
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ژورنال
عنوان ژورنال: ISPRS International Journal of Geo-Information
سال: 2016
ISSN: 2220-9964
DOI: 10.3390/ijgi5060083