Water extraction in SAR images using GLCM and Support Vector Machine

@article{Lv2010WaterEI,
  title={Water extraction in SAR images using GLCM and Support Vector Machine},
  author={Wentao Lv and Qiuze Yu and Wenxian Yu},
  journal={IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS},
  year={2010},
  pages={740-743}
}
Traditional methods to extract water regions in SAR images usually rely on image binarization with a specified threshold. However, because of the inherent speckles in SAR images, finding an appropriate threshold is very difficult. In the paper, we propose a new method for water region extraction in SAR images using GLCM (gray-level co-occurrence matrix) based features combined with SVM (Supported vector Machine). The characteristics of water and non-water regions are distinctively depicted by… CONTINUE READING
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A Rapid Method For Water Target Extraction InSAR Image, The Iternational Archives of the Photogrammetry

  • Wang Dong, Qin Ping
  • Vol. XXXVII,
  • 2008
2 Excerpts

A dynamic local thresholding thechnique for sea ice classification

  • D. Haverkamp., L. K. Soh, C. Tsatsoulils
  • IGARSS
  • 1993

Tsatsoulils,C.; A dynamic local thresholding thechnique for sea ice

  • Haverkamp.D, Soh, L.K
  • classification. IGARSS,
  • 1993
1 Excerpt