Water extraction in SAR images using GLCM and Support vector Machine

International Conference on Signal Processing Proceedings, ICSP

Volumn , Issue , 2010, Pages 740-743

  Lv, Wentao ^a   Yu, Qiuze ^a   Yu, Wenxian ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

GLCM (Gray Level Co occurrence Matrix); SAR (Synthetic Aperture Radar); SVM (Support vector Machine); Water extraction

Indexed keywords

GRAY LEVEL CO-OCCURRENCE MATRIX; IMAGE BINARIZATION; SAR IMAGES; SAR(SYNTHETIC APERTURE RADAR); SUPPORTED VECTOR MACHINES; SVM CLASSIFIERS; SVM(SUPPORT VECTOR MACHINE); WATER EXTRACTION; WATER REGIONS;

FEATURE EXTRACTION; HYDROPHILICITY; IMAGE PROCESSING; IMAGING SYSTEMS; RADAR; SIGNAL PROCESSING; SOLVENT EXTRACTION; SUPPORT VECTOR MACHINES; SYNTHETIC APERTURES; VECTORS;

SYNTHETIC APERTURE RADAR;

EID: 78651097260     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOSP.2010.5655766     Document Type: Conference Paper

References (13)

1. Wang Dong, Qin Ping, A Rapid Method For Water Target Extraction InSAR Image, The Iternational Archives of the Photogrammetry, Vol. XXXVII, No.6, pp. 237-242, 2008.
2. Haverkamp.D.; Soh, L.K.; Tsatsoulils,C.; A dynamic local thresholding thechnique for sea ice classification. IGARSS, Vol.2, pp. 638-640, 1993.
3. A. Niedermeier, D.Hoja, and S.Lehner, Topography and morphodynamics in the German Bight using SAR and Optical remote sensing data[J], Ocean Dyn, Vol.55, No.2, pp. 100-109, Nov.2005.
4. M.Horritt, A Statistical active contour model for SAR image segmentation, Image Vis.Comput.,Vol.17, No.3/4, pp. 213-224, Mar.1999.
5. Margarida Silverira, Sandra Heleno, Separation Between Water and Land in SAR Images Using Region-Based Level Sets [J]. IEEE Geoscience and Remote Sensing Letters, Vol.6, No.3, pp. 471-475, 2009.
6. R.M.Haralick, K.Shanmugam, I.Dinstein, Texture Features for Image Classification[J], IEEE Trans. on Systems, Man and Cybernetics, 3(6), pp. 610-621, 1973.
7. Vapnik V., The Nature of Statistical Learning Theory [M]. New York: Springer-Verlag. 1995
8. Yongqiao Wang, Shouyang Wang, and K.K.Lai, A New Fuzzy Support Vector Machine to Evaluate Credit Risk, IEEE Transactions on Fuzzy Systems, Vol.13, No.6, Dec.2005.
9. Yong HU, Chun-xia Zhao, Hong-nan Wang, Directional Analysis of Texture Images Using Gray Level Co-occurrence Matrix, IEEE PACIIA, Vol.2, pp. 277-281, 2008.
10. SVM, ttp://www.csie.ntu.edu.tw/~cjlin/
11. N.Otsu, A Threshold Selection Method from Gray-Level Histogram, IEEE Trans. on System Man Cybernetics, SMC, Vol,9(I), pp. 62-66, 1979.
12. Shung-Shing Lee, Shi-Jinn Horng, Horng-Ren Tsai, Entropy Thresholding And Its Parallel Algorithm On The Reconfigurable Array Of Processors With Wider Bus Networks, IEEE Transactions on Image Processing, Vol.8, No.9, pp. 1229-1242, Sept.1999.
13. Mokji.M.M, Abu Bakar,S.A.R, Adaptive Thresholding Based on Cooccurrence Matrix Edge Information, First Asia International Conference on Modelling & Simulation, pp. 444-450, 2007.