Hyperspectral Image Unmixing for Land Cover Classification

Hyperspectral image unmixing is a very essential but challenging task for solving the mixed pixel issues. Spectral unmixing is directly involved in image sub-pixel classification, answering the spectral mixing problem. The present study emphasizes the importance of unmixing spectral features from remotely sensed hyperspectral scenes to classify land features. The high spectral and moderate spatial...