The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLI-B2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 21–26, 2016
https://doi.org/10.5194/isprs-archives-XLI-B2-21-2016
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 21–26, 2016
https://doi.org/10.5194/isprs-archives-XLI-B2-21-2016

  07 Jun 2016

07 Jun 2016

A PROBABILITY-BASED STATISTICAL METHOD TO EXTRACT WATER BODY OF TM IMAGES WITH MISSING INFORMATION

Shizhong Lian1, Jiangping Chen1, and Minghai Luo2 Shizhong Lian et al.
  • 1School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, Hubei, China
  • 2Wuhan Geomatics Institute, Wuhan, Hubei, China

Keywords: Probability statistics, Water body extraction of TM images, Missing information, MNDWI

Abstract. Water information cannot be accurately extracted using TM images because true information is lost in some images because of blocking clouds and missing data stripes, thereby water information cannot be accurately extracted. Water is continuously distributed in natural conditions; thus, this paper proposed a new method of water body extraction based on probability statistics to improve the accuracy of water information extraction of TM images with missing information. Different disturbing information of clouds and missing data stripes are simulated. Water information is extracted using global histogram matching, local histogram matching, and the probability-based statistical method in the simulated images. Experiments show that smaller Areal Error and higher Boundary Recall can be obtained using this method compared with the conventional methods.