地理国情监测中遥感图像分类分析-地图学与地理信息系统专业论文.docxVIP

万方数据 万方数据 Subject :Study on the Classification of Remote sensing image in Geographic National Condition Monitoring Specialty :Cartography and Geographic Information Systems Name :Wang Haiheng (Signature) Instructor:Chen Xiaoning (Signature) ABSTRACT The key technology of information extraction of surface covering the geographical condition monitoring in the project, is how to quickly and accurately obtain object information of remote sensing image contains. This article uses the eCognition software for automatic image interpretation,the process of interpreting is divided into two steps: the first step is to select the optimal combination of parameters for multiscale segmentation, the results of segmentation directly affect the quality of the final the results of interpreting. In order to obtain the best segmentation combination of parameters, a detailed study on how to select the parameters of its division and experiments in this paper. The second step is to generate an image segmentation result according to the image object layer object properties and classification rules set by writing. Since the automatic interpretation of the results of the data has serious jaggies, and the accuracy can not meet the needs of land cover projects. Hence we need to manually modify. Based the aliasing problems, this paper modeled by using ArcGIS Model Builder model generator to resolve. After manually through the stream editor (Streaming) model is modified, there is a common error that adjacent surface has the same properties, manual inspection is very difficult to find the problem.it’s sovled through the scripting language Python writting in a special inspection tool. Finally, by the counting the area of interpreting the results and modifying the results of all artificial feature type, we can interpret the correctly feature type area, then turning on the automatic interpretation evaluate the accuracy of the results. The researth in this paper is based on biased northern Zhiduo,