Application of object-oriented approach to high resolution remote sensing image classification

Compared with the low or middle resolution image, the high resolution Remote Sensing image has the richer structure information and the texture information, and the traditional statistical classification technology based on pixels' spectrum can not obtain the ideal effect; it's produced lots of " pepper and salt noises", "the foreign matter same spectrum" and "the same thing different spectrum". The idea of object-oriented technology produces homogeneous image objects through multi-scale segmentation technology, and provides a way to analyze object's features, such as spectral, shape, topology, texture and so on. And then it carries out the information extraction by fuzzy classification using spectral features and shape features classification, and realizes the functions of discriminating various species and automatic classification.© (2007) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.