A Object-oriented Classification Information Extraction Technology Research Of Coastal Zone

This paper tries to provide a object—oriented image classification method whose key technology is Image Segmentation.The small units of Image Segmentation are those homogeneous image object polygons classifying by image features such as spectrum,geometrics,texture and topology.We took QuickBird data of Coastal zone as study objects,chose methods such as image fusion,image segmentation,the nearest neighbor classification and did accuracy assessment finally.The result shows that to the coastal zone images of dynamic land types and serious noises,using Object-oriented Image Classification Method can avoid the "pepper and salt",increase noises resistance,change classification into vector thematically map and improve the classification accuracy.