An Unsupervised Feature Extraction Using Endmember Extraction and Clustering Algorithms for Dimension Reduction of Hyperspectral Images
Hyperspectral images (HSIs) provide rich spectral information, facilitating many applications,
including landcover classification. However, due to the high dimensionality of HSIs …
including landcover classification. However, due to the high dimensionality of HSIs …