Mapping tropical forest using ALOS PALSAR 50m resolution data with multiscale GLCM analysis

PALSAR orthorectified HH and HV produced at 50m resolution is used for analysis. Since only two bands (HH and HV) have been limited in land cover discrimination, textures have been used as additional information for classification. This research derives second-order textures at different spatial resolutions and compares second-order textures at multiple scales to demonstrate their contributions in land cover classification. The discriminating capability of texture features is derived by the transformed divergence on several selected regions of interest. Optimum combination of backscattering and textures are used as input data into a supervised multi-resolution maximum likelihood classification. It is found that by including the texture information, the overall classification accuracy is improved by 10%.