Support Vector Machine for Remote Sensing image classification

The presented work deals with remote sensing data classification. The major goal is to provide the la nd characterization for multispectral image observations. Channel images contain data acquired from different wavelen gth within the frequency spectrum. Due to the multiple radianc e reflection, the land characterization in the observation space became complex and inefficient. The goal of this work is to perform a feature space for observations. Then a statically le arning classifier using the Support Vector Machine is deve loped for a reliable land characterization. Keywords— Fusion, Segmentation, Classification, Support Vector Machine, Feature extraction