Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 283-287, 2016
https://doi.org/10.5194/isprs-archives-XLI-B7-283-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
21 Jun 2016
MULTISCALE SEGMENTATION OF POLARIMETRIC SAR IMAGE BASED ON SRM SUPERPIXELS
F. Lang1, J. Yang2, L. Wu1, and D. Li2,1 1School of Environment Science and Spatial Informatics, China University of Mining and Technology, No.1, Daxue Road, Xuzhou 221116, China
2State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China
Keywords: synthetic aperture radar (SAR), polarimetric SAR (PolSAR), segmentation, multiscale, superpixel, binary partition tree (BPT), statistical region merging (SRM) Abstract. Multi-scale segmentation of remote sensing image is more systematic and more convenient for the object-oriented image analysis compared to single-scale segmentation. However, the existing pixel-based polarimetric SAR (PolSAR) image multi-scale segmentation algorithms are usually inefficient and impractical. In this paper, we proposed a superpixel-based binary partition tree (BPT) segmentation algorithm by combining the generalized statistical region merging (GSRM) algorithm and the BPT algorithm. First, superpixels are obtained by setting a maximum region number threshold to GSRM. Then, the region merging process of the BPT algorithm is implemented based on superpixels but not pixels. The proposed algorithm inherits the advantages of both GSRM and BPT. The operation efficiency is obviously improved compared to the pixel-based BPT segmentation. Experiments using the Lband ESAR image over the Oberpfaffenhofen test site proved the effectiveness of the proposed method.
Conference paper (PDF, 2299 KB)


Citation: Lang, F., Yang, J., Wu, L., and Li, D.: MULTISCALE SEGMENTATION OF POLARIMETRIC SAR IMAGE BASED ON SRM SUPERPIXELS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 283-287, https://doi.org/10.5194/isprs-archives-XLI-B7-283-2016, 2016.

BibTeX EndNote Reference Manager XML