Volume XLII-2/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 733-736, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-733-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 733-736, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-733-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  13 Sep 2017

13 Sep 2017

A NEW 2D OTSU FOR WATER EXTRACTION FROM SAR IMAGE

Y. Guo1,2 and J. Zhang3 Y. Guo and J. Zhang
  • 1School of Geomatics, Liaoning Technical University, Fuxin, China
  • 2Key Laboratory of Geo-Informatics of State Bureau of Surveying and Mapping, Chinese Academy of Surveying and Mapping, Beijing, China
  • 3National Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing, China

Keywords: 2D OTSU method, gray level co-occurrence matrix (GLCM), synthetic aperture radar (SAR), water extraction, texture factors

Abstract. SAR image segmentation is a crucial step that heavily influences the performance of image interpretation. The texture factor to replace the neighborhood mean dimension in the traditional Otsu method is proposed in this work, aiming at the problem that the SAR image has unique characteristics and the original 2D Otsu method only considers the pixel neighborhood mean information. In this paper, TerraSAR image with the single band and single polarization is used to water extraction. Firstly, the semantic function is used to analyze the structural characteristics of the sample image to determine the optimal parameters of the texture information extraction. Then, calculate the textural measures such as contrast, entropy, homogeneity, mean and second moment based on gray level co-occurrence matrix(GLCM) method. The results are compared with the artificially marked images and the results of the original 2D Otsu.The experimental results achieve higher objective values, which shows the proposed algorithm using texture factor has a high practical value for SAR Image water segmentation.