Research On Building Extraction For High Resolution Remote Sensing Image

Building areas is one of the core terrain features in geodatabase, meanwhile it’s also an important and indispensable part of urban environment and settlements of human activities. With the social development, building land constantly changes speedly, and spatial database update also become very important. The development of remote sensing technology, makes identification and extraction the feature information from remote sensing for human to automatically update the GIS database possible. Therefore, this paper focus on how to extracted building outline from high-resolution remote sensing images, The main research work is as follows:(1)An algorithm based on the principle of the numerical computation among the bands and vegetation reflectance characteristics of green band which can Weaken the luminance value of the other feature, and increase the vegetation luminance value.Then After the the morphological repairing, we use simple grayscale threshold segmentation algorithm to extract vegetation outline, and with the Mask processing to eliminate the interference of vegetation to the follow-up extracting of building. Finally, we take the different regions of the same resolution remote sensing image data to verify the versatility of the vegetation extraction method.(2) First, a detailed analysis of multi-scale segmentation algorithm and method of scale determination is made, meanwhile, the vegetation is removed by the image segmentation algorithm. Then, the divided image is classified using K neighboring algorithm to obtain the outline of buildings; moreover, extraction results of multi-scale segmentation and classification results based on pixel are compared and the accuracy is analyzed. Finally, outline of buildings are obtain using the algorithm of edge detection and vectorization.(3)An accurate building extraction method is proposed based on digitization, because of the false and miss alarms in the method. The severely and general damaged building outline are repaired using three digitization methods(hand tracking digitization, the automatic tracking digital, vector data matching repair).Finally, the building outline and the same vector data in GIS database are overlaid to speed up the repair rate. The three methods are developed using c#and Arcgis Engine.