Panchromatic Remote Sensing Images In Area Feature Semi-automatic Extraction Method

With the rapidly development of space techniques and information techniques, the high resolution secondary planet can supply human with the digital images of high accuracy and large capability. Target extraction from images has become the important means of the space information updating, and has been used extensively in the national economic production and martial target detection. Based on the automatic interpretation of spatial image and the actuality of present production , this paper studied the semiautomatic extraction and precise orientation of region, and emphatically solved the problem of typical region (such as large residential area^ water area> plant area) semiautomatic extraction and accurate boundary orientation. The key technique is some correlative techniques, such as target pattern extraction character matching > boundary refinement etc. The main achievements of this paper are the follows:1. This paper discussed the actuality > difficulty and investigative direction of spatial images automatic interpretation.2. Aiming at the character of interesting target to be extracted, we analyzed the basic means of region extraction.3. Three texture segmentation models are analyzed thoroughly combined with basic characteristics of region target and a texture segmentation model is presented according to the character of residential areas.4. Aiming at the different interesting target(such as large residential area^ water area^ plant area) we made extracting experiments respectively and obtained accurate results and valuable data.5. Analyzing expression and application of knowledge obtained abstractively from characteristics, we summarized the particular example of automatic interpretation of spatial image recently and the research direction of image interpretation.