Multidisciplinary analysis for feature information extraction of Remote Sensing
Chi Guobin, Li Yan
Xinjiang Institute of Geogrpahy
Din Xuan
Guiyang Institute of Geochemistry
Tond Qingxi
Aero borne Remote Sensing Center, Chinese Academy of Sciences.
Introduction
Being one of the important methods of Remote Sensing, the image processing is becoming widely used in many fields. With various functions possessed or new developed in image processing system, the procedure of enhancing certain information interested (object information), enabling them to be easier identified from background information is used for extraction of feature information. However, there are still questions whether the extracted information coincides with the expected information how about its reliability, what mechanism is represented by the feature information, and whether the inherent laws of object information are reveled, these are directly related to the results of image processing and its practical value.
Consequently, in order to obtain good result with practical value, it is necessary not only to study the fundamental features of the object information in detail, work only a feasible plan for conduct the verification for the extracted feature information. We call this whole set of analyzing method as multidisciplinary analysis", its major steps are shown as follows :
Fig. 1 Flow-chart of multidisciplinary analysis
