The Method Research On Remote Sensing Phantom Pretreatment And Terrain Feature Extraction

Our country has had two national land investigations since 1984. Both surveys for more than ten years,but based on the principle land investigation taxonomic approach of open country investigate, the difficult work does not the most major problem, as the time span is very big, the data effectiveness with difficulty guaranteed, therefore, the conventional routes of remote sensing image interpretation has faced with huge challenge. Along with the development of computer imagery processing technology and remote sensing technique, the research and the application of the terrain feature of automatic extraction of remote sensing image obtains people's favor more and more. Take the remote sensing image pretreatment as the foundation, realizes automatic extraction of the remote sensing image terrain feature, gains the different topic information of the surface fastly, and uses these special information renewal geography database fastly, it is not only one of the basic researches of remote sensing image automatic understanding, but also is the benefit efficient path which can increase the precision and the work efficiency.While the"same thing but different spectrum"and"same spectrum but foreign matter"phenomenon still exist.(1) The feasibility of automatic extraction of surface features analysis of existing data to do analysis of regions of interest for subsequent image classification for data preparation.(2) In order to further improve the classification results, the choice of frequency domain enhancement homomorphic filtering, histogram equalization, spatial enhancement, radiation to the haze in the method, the preprocessing of remote sensing images, to a certain extent, to improve image Identification of material degree.(3) The paper analyzes the current surface features popular automatic extraction of information, a comprehensive analysis of the study area in the spectrum of the image, texture features based on the structure, constructed in the study area features on the new classification rules.(4) Get the new rule tree, decision tree classification of images. Found that combining pixel classification and texture information than the traditional pixel-based classification method with high accuracy, especially for the "same object different spectrum," "with the spectrum of foreign body" in the images when the surface features automatic extraction of information with absolute advantage.