Hyperspectral Image, Remote Sensing, Deep Learning, Linear Spectral Unmixing, Classification Models.
estimation, sparse based un-mixing, interactive scatter plot visualization, visualization of un-mixing results, and un-mixing error analysis. Classification Module: Supervised, Un-Supervised classification and Segmentation Deep Learning Module: DL module consists of state-of-the-art DL algorithms