Abstract
Urban building outline is not only a very important land cover type, but also the key of studying urban building. It is significance on urban construction planning and natural disasters monitoring. This paper discussed the method for building information extracting according to high-resolution SAR coherence image. Through theoretical analysis and test verifying, it had obtained a better effect for extracting the buildings’ profiles or top figures from the coherence image, which often expressed as ‘L’-style top structures from SAR SLC image. This method has been proved the further potential in extracting urban buildings’ structure and profile information, and has some extent of reference means.
L. Pang—Beijing Natural Science Foundation (No. 8154043), Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation (20131207NY) and Research Fund for the Doctoral Program of Beijing University of Civil Engineering and Architecture (Z12069). And this research work achieved in and supported by the Key Laboratory of Geo-Informatics of National Administration of Surveying, Mapping and Geoinformation (201327, Z13152).
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Sun, M., Pang, L., Liu, H., Zhang, X., Ai, L., He, S. (2016). Urban Extraction Based on Multi-scale Building Information Extra-Segmentation and SAR Coherence Image. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_48
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