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.
Highlights
Water is a decisive factor to maintain the stability and health of wetland ecosystem (Wang, Lian and Huang, 2012)
Jenson extracted water body according to the threshold, which is decided by the middle-infrared radiation band (MIR), near-infrared radiation band (NIR), and TM5 (Moller, 1990)
Considering the weakness that buildings can be regarded as water when extracting information with NDWI algorithm, Hanqiu Xu introduced the modified normalized difference water index (MNDWI), which can restrain the vegetation factor and building factor at the greatest extent so as to give prominence to the water body information (Xu, 2005)
Summary
Water is a decisive factor to maintain the stability and health of wetland ecosystem (Wang, Lian and Huang, 2012). The methods with global histogram matching (GHM), local histogram matching (LHM) (Shou, Chen and Ma, 2006), and other common image restorations failed to improve the accuracy of water information well because they used one close-temporal intact image to restore the missing information. These methods successfully improved the classification accuracy of relatively stationary features like houses, roads, vegetation. Water has the least stability, with the shortest span of two adjacent images in 16 days Within this short period, the border of water changes relatively more than houses and roads as relatively stationary features. A new method of water body extraction based on probability statistics is proposed, which improves the accuracy of water information extraction of TM images with missing information
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