An Object Oriented Approach for Multi-Channel and Multi-Polarization NASA/JPL POLSAR Image Classification

  • Tsay, Jaan-Rong (Department of Geomatics, National Cheng Kung University) ;
  • Lin, Chia-Chu (Department of Geomatics, National Cheng Kung University)
  • 발행 : 2003.11.03

초록

This paper presents an object oriented approach(OOA) for classification of multi-channel and multi-polarization NASA/JPL POLSAR images. Some test results in Taiwan are also given and analyzed. It is concluded that this approach can utilize as more information of both low- and high-levels involved in all images as possible for image classification and thus provides a better classification accuracy. For instance, the OOA has a better overall classification accuracy(98.27%) than the nearest-neighbor classifier(91.31%) and minimum-distance classifier(80.52%).

키워드