Abstract：As is known to all,high resolution remote sensing imagery contains plenty of spectral and spatial information which represent objects' inner physical attributes and outer distribution and composite structure respectively.According to its characteristics mentioned above,we proposed an building extraction method based on spatial-spectral information on high resolution remote sensing imagery.On the basis of feature unit extraction through multi-scale segmentation and vectorization,we selected building samples automatically from feature units according to characteristics like shape and spectral information.Then,we preceded the building area recognition on the whole image using the template constructed by buildings' shape,and done edge detection and thinning inside the building regions to extract the outline of building.Last,we implemented the algorithm mentioned above,and proved its validity through experiments.
吴炜，骆剑承，沈占锋，朱志文. 光谱和形状特征相结合的高分辨率遥感图像的建筑物提取方法[J]. 武汉大学学报·信息科学版, 2012, 37(7): 800-805.
WU Wei， LUO Jiancheng， SHEN Zhanfeng， ZHU Zhiwen. Building Extraction from High Resolution Remote Sensing Imagery Based on Spatial-Spectral Method. GEOMATICS AND INFORMATION SCIENCE OF WUHAN UNIVERS, 2012, 37(7): 800-805.
2012, Vol. 37 
