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• W2775803007 abstract "The detection and extraction of buildings using high resolution synthetic aperture radar (SAR) images has been the topic of recent discussions. In this paper, a framework for building extraction and classification is proposed. Buildings are classified into three kinds: commercial architecture, residential building and Industrial building, by the fusion of structure features (point-like, linear and regional features). All kinds of structure features are detected orderly in the framework of multi-scales pyramid. The delineation of urban footprint is firstly determined on the highest scale level, and then the types of buildings are classified on the lowest scale level based on the local features including persistent points, corner lines, and dark shadows, which are detected in the pre-determined region of urban footprint. The experimental results on our TerraSAR-X Staring Spotlight(ST) data set confirm that our scheme performs well." @default.
• W2775803007 created "2017-12-22" @default.
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• W2775803007 date "2017-07-01" @default.
• W2775803007 modified "2023-09-27" @default.
• W2775803007 title "Building classification from single TerraSAR-X ST image by fusing structure features in the pyramid framework" @default.
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• W2775803007 doi "https://doi.org/10.1109/igarss.2017.8127709" @default.
• W2775803007 hasPublicationYear "2017" @default.
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