Most of the research in remote sensing is focused on developing a well-defined and reliable automated process for the extraction of information from different types of imagery. This paper deals with the extraction of linear anthropogenic objects (especially buildings) in hilly areas. The analysis of digital surface models from hilly terrain data is still challenging, especially for highly sloped landscapes. Commonly, the first task to study satellite data is to separate ground and object points as a preparatory step for further object classification. In this paper, object and ground separation in hilly terrain (PAN image of Indian Remote Sensing (IRS)-1C satellite) is addressed by employing wavelets. Then the extraction of desired objects (buildings) is done by employing the marker-controlled watershed segmentation. Experimental results demonstrate the method to be effective.
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Document Type: Research Article
Department of Electronics and Communication Engineering, Jagannath Institute for Technology and Management, Parlakhemundi, Orissa, India
Gandhi Institute of Technology and Management Engineering College, Visakhapatnam, India
Department of Geo-Engineering, Andhra University, Visakhapatnam, India
Andhra Pradesh State Remote Sensing Center, Hyderabad, Andhra Pradesh, India
Publication date: 2010-07-01
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