Data Processing Method Applying Principal Component Analysis and Spectral Angle Mapper for Imaging Spectroscopic Sensors
نویسندگان
چکیده
منابع مشابه
Angle Principal Component Analysis
Recently, many l1-norm based PCA methods have been developed for dimensionality reduction, but they do not explicitly consider the reconstruction error. Moreover, they do not take into account the relationship between reconstruction error and variance of projected data. This reduces the robustness of algorithms. To handle this problem, a novel formulation for PCA, namely angle PCA, is proposed....
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ژورنال
عنوان ژورنال: IEEE Sensors Journal
سال: 2008
ISSN: 1530-437X
DOI: 10.1109/jsen.2008.926923