遥感与地理信息系统学报

抽象的

Building Identification in Urban Areas using VHR Satellite Imagery

Evans Belly*, Imdad Rizvi, M. M. Kadam

Satellite imagery is one of the emerging technologies which is extensively utilized in various applications such as detection/extraction of man-made structures, monitoring of sensitive areas, creating graphic maps etc. The main approach here is the automated detection of buildings from very high resolution (VHR) optical satellite images. Initially the shadow and the building region are investigated and building extraction is mainly focused. Once all the landscape is collected a trimming process is done so as to eliminate the landscapes that may occur due to nonbuilding objects. Finally the label method is used to extract the building regions. The label method may be altered for efficient building extraction. The images used for the analysis are the ones which are extracted from the sensors having resolution less than 1 meter (VHR). This method provides an efficient way to produce good results. The additional overhead of mid processing is eliminated without compromising the quality of the output to ease out processing steps required and time consumed in the same. /