Edge Detection of PolSAR Image Based on Stochastic Distance

  • WANG Qing ,
  • ZENG Qiming ,
  • ZHANG Haizhen ,
  • JIAO Jian
Expand
  • Key Laboratory of Spatial Information Integration and Applications of Beijing Municipality, Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China

Received date: 2013-12-30

  Revised date: 2014-10-14

  Online published: 2015-07-28

Supported by

The National High-tech Research and Development Program of China (863 Program) (No. 2012AA121304);The National Natural Science Foundation of China (No. 41171267)

Abstract

A new edge detection methodology in PolSAR images is proposed, which is based on stochastic distance in the statistical theory and combined with complex Wishart distribution. Its main principle is inspired from the phenomenon that stochastic distance of two classes separated by an edge is closely related to the edge direction and the contrast of two classes. Simulation experiments are carried out to analyze the performance of the proposed methods. Results prove that methods have better capabilities in edge orientation and edge positioning than common used methods. Then, the proposed detection procedure is tested on a simulated PolSAR image with the complex Wishart distribution, as well as an airborne fully polarimetric SAR image.

Cite this article

WANG Qing , ZENG Qiming , ZHANG Haizhen , JIAO Jian . Edge Detection of PolSAR Image Based on Stochastic Distance[J]. Acta Geodaetica et Cartographica Sinica, 2015 , 44(7) : 753 -760 . DOI: 10.11947/j.AGCS.2015.20130810

References

[1] TORRE V, POGGIO T A. On Edge Detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986, 8(2): 147-163.
[2] DENG Shaoping, ZHANG Jixian, LI Pingxiang. Review of Edge Detection from Polarimetric SAR Imagery[J]. Computer Engineering and Application, 2011, 47(22): 1-5. (邓少平, 张继贤, 李平湘. 极化SAR影像边缘检测综述[J]. 计算机工程与应用, 2011, 47(22): 1-5).
[3] ZHAO Lingjun, JIA Chengli, KUANG Gangyao. Overview of Edge Detection in SAR Images[J]. Journal of Image and Graphics, 2007, 12(12): 2042-2049. (赵凌君, 贾承丽, 匡纲要. SAR图像边缘检测方法综述[J]. 中国图象图形学报, 2007, 12(12): 2042-2049.)
[4] TOUZI R, LOPES A, BOUSQUET P. A Statistical and Geometrical Edge Detector for SAR Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 1988, 26(6): 764-773.
[5] BOVIK A C. On Detecting Edges in Speckle Imagery[J]. IEEE Transactions on Acoustics, Speech and Signal Processing, 1988, 36(10): 1618-1627.
[6] GANUGAPATI S S, MOLONEY C R. A Ratio Edge Detector for Speckled Images Based on Maximum Strength Edge Pruning[C]//IEEE International Conference on Image Processing. Washington, DC: IEEE, 1995, 2: 165-168.
[7] FJORTOFT R, LOPES A, MARTHON P, et al. An Optimal Multiedge Detector for SAR Image Segmentation[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(3): 793-802.
[8] OLIVER C J, BLACKNELL D, WHITE R G. Optimum Edge Detection in SAR[J]. IEEE Proceedings on Radar, Sonar and Navigation, 1996, 143(1): 31-40.
[9] LIU Junyi, LI Deren, LI Wei, et al. A Method for SAR Edge Detection Based on Ratio of Averages and Optimal Entropy[J]. Geomatics and Information Science of Wuhan University, 2007, 32(6): 494-497. (刘俊怡, 李德仁, 李微, 等. 一种基于均值比率和最佳熵的SAR影像边缘检测方法[J]. 武汉大学学报:信息科学版, 2007, 32(6): 494-497).
[10] LI Pingxiang, DENG Shaoping, ZHANG Jixian, et al. An Edge Detector for Polarimetric SAR Images Based on Adaptive Optimal Polarimetric Contrast Enhancement[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 789-793. (李平湘, 邓少平, 张继贤, 等. 利用自适应最优极化对比增强检测SAR影像边缘[J]. 武汉大学学报:信息科学版, 2012, 37(7): 789-793.)
[11] LANG Fengkai, YANG Jie, ZHAO Lingli, et al. Polarimetric SAR Data Classification with Freeman Entropy and Anisotropy Analysis[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(4): 556-562. (郎丰铠, 杨杰, 赵伶俐, 等. 基于Freeman散射熵和各向异性度的极化SAR影像分类算法研究[J]. 测绘学报, 2012, 41(4): 556-562.)
[12] WEI Jujie, LI Pingxiang, YANG Jie, et al. Removing the Effects of Azimuth Ambiguities on Ships Detection Based on Polarimetric SAR Data[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(4): 530-539. (魏钜杰, 李平湘, 杨杰, 等. 利用全极化SAR数据去方位向模糊的舰船目标检测方法[J]. 测绘学报, 2013, 42(4): 530-539.)
[13] SCHOU J, SKRIVER H, NIELSEN A A, et al. CFAR Edge Detector for Polarimetric SAR Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(1): 20-32.
[14] CONRADSEN K, NIELSEN A A, SCHOU J, et al. A Test Statistic in the Complex Wishart Distribution and Its Application to Change Detection in Polarimetric SAR Data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(1): 4-19.
[15] LEE J S, POTTIER E. Polarimetric Radar Imaging: From Basics to Applications[M]. Boca Raton: CRC Press, 2009: 138-139.
[16] BORGHYS D, LACROIX V, PERNEEL C. Edge and Line Detection in Polarimetric SAR Images[C]//Proceedings of the 16th International Conference on Pattern Recognition. Quebec City, Quebec, Canada: IEEE, 2002(2): 921-924.
[17] ZHOU G, CUI Y, CHEN Y, et al. Linear Feature Detection in Polarimetric SAR Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(4): 1453-1463.
[18] FRERY A C, NASCIMENTO A D C, CINTRA R J. Information Theory and Image Understanding: An Application to Polarimetric SAR Imagery[J]. Chilean Journal of Statistics, 2011, 2(2): 81-100.
[19] FRERY A C, NASCIMENTO A D C, CINTRA R J. Analytic Expressions for Stochastic Distances between Relaxed Complex Wishart Distributions[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(2): 1213-1226.
[20] DOULGERIS A P, ANFINSEN S N, ELTOFT T. Automated Non-Gaussian Clustering of Polarimetric Synthetic Aperture Radar Images [J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(10): 3665-3676.
[21] NASCIMENTO A D C, CINTRA R J, FRERY A C. Hypothesis Testing in Speckled Data with Stochastic Distances[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(1): 373-385.
[22] LEE J S. Refined Filtering of Image Noise Using Local Statistics[J]. Computer Graphics and Image Processing, 1981, 15(4): 380-389.
Outlines

/