Báo cáo hóa học: " Automated Building Extraction from High-Resolution Satellite Imagery in Urban Areas Using Structural, Contextual, and Spectral Information"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Automated Building Extraction from High-Resolution Satellite Imagery in Urban Areas Using Structural, Contextual, and Spectral Information | EURASIP Journal on Applied Signal Processing 2005 14 2196-2206 2005 X. Jin and C. H. Davis Automated Building Extraction from High-Resolution Satellite Imagery in Urban Areas Using Structural Contextual and Spectral Information Xiaoying Jin Department of Electrical and Computer Engineering University of Missouri-Columbia Columbia MO 65211 USA Email xje4e@ Curt H. Davis Department of Electrical and Computer Engineering University of Missouri-Columbia Columbia MO 65211 USA Email davisch@ Received 1 January 2004 Revised 17 August 2004 High-resolution satellite imagery provides an important new data source for building extraction. We demonstrate an integrated strategy for identifying buildings in 1-meter resolution satellite imagery of urban areas. Buildings are extracted using structural contextual and spectral information. First a series of geodesic opening and closing operations are used to build a differential morphological profile DMP that provides image structural information. Building hypotheses are generated and verified through shape analysis applied to the DMP. Second shadows are extracted using the DMP to provide reliable contextual information to hypothesize position and size of adjacent buildings. Seed building rectangles are verified and grown on a finely segmented image. Next bright buildings are extracted using spectral information. The extraction results from the different information sources are combined after independent extraction. Performance evaluation of the building extraction on an urban test site using IKONOS satellite imagery of the City of Columbia Missouri is reported. With the combination of structural contextual and spectral information of the building areas are extracted with a quality percentage . Keywords and phrases building extraction high-resolution satellite imagery mathematical morphology shadow hypothesis and verification information fusion. 1. INTRODUCTION Monocular building extraction has been an

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