Efficient Big-Size Light Region Splitting Scheme for High-Resolution SAR Imagery

  • Yongfeng Cao
  • Caixia Su
  • Jianjuan Liang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 217)


Building detection is a key step to extract information about urban regions from high-resolution synthetic aperture radar (SAR) images. Light features of building often merge into a big-size region in SAR images due to SAR imaging mechanism and geometric layout of building, and make it difficult to further extract building information. A method that is a hybrid of morphological operators for building detection from high-resolution SAR images is proposed. This method first detects buildings by a combination of two intensity thresholds and morphological reconstruction, then to the big-size light region, a hybrid of several morphological operators are used to split it into proper number of small segments. The proposed method performs better than classic K-means and ISODATA in testing high-resolution TerraSAR-X data, in both shape preservation and building number estimation.


SAR imagery Building information extraction Hybrid morphological operators 



This work was supported by the National Natural Science Foundation of China (No.40901207, No.41161065).


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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Mathematics and Computer Science SchoolGuizhou Normal UniversityGuiyangChina

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