Multisensor data fusion and feature extraction for forestry applications

In this paper we discuss feature level multisensor data fusion with P-, L-, and C-band polarimetric synthetic aperture radar (PolSAR) data and multispectral Landsat Thematic Mapper (TM) data. The application is classification of Maritime pine age classes and bare ground in the Nezer forest in France. Multisensor data fusion is motivated by the complementary… CONTINUE READING