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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)

Abstract

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.

Keywords

SAR imagery Building information extraction Hybrid morphological operators 

Notes

Acknowledgments

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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