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- W2364016136 abstract "Building detection from very high resolution satellite images is an important task for land planners and mapping. However, manually locating buildings is a difficult and time consuming process. In this study, a novel automatic building detection approach based on line segment detector(LSD) and local binary pattern(LBP) features under the vegetation environment from very high resolution satellite image is presented.The rectangular buildings can be identified by analyzing the specific geometric relationships between edges of the roof-top. Furthermore, the threshold-based segmentation and morphological operations are used to find light-colored roof-top areas. We compose the results of the above procedures to form the potential areas of roof-tops. Finally, a support vector machine(SVM), with the help of LBP texture features, is used to remove non-roof regions. The experiment results demonstrate the effectiveness of the method." @default.
- W2364016136 created "2016-06-24" @default.
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- W2364016136 date "2013-01-01" @default.
- W2364016136 modified "2023-09-25" @default.
- W2364016136 title "A New Approach to Building Detection in Remote Sensing Images" @default.
- W2364016136 hasPublicationYear "2013" @default.
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