Research and improvement of histogram bimodal method in water body extraction from remote sensing images

doi:10.13474/j.cnki.11-2246.2023.0268

Abstract

Abstract: Based on multispectral remote sensing data, the advantages of using the water body index method to extract watershed information are obvious and widely used. However, in the process of implementation, the selection of algorithm depends on the specific watershed environment, and most of the current studies adopt specific algorithms based on a given region with poor portability. In this paper, winter and summer data from five regions in eastern China are selected and normalized using the modified normalized water body index (MNDWI) based on the spectral data from Landsat 8/9 satellites, on which the shortcomings of the histogram bimodal threshold method are studied and improved. The experimental results show that the accuracy of the improved histogram bimodal method for extracting waters information is significantly improved, and it no longer depends on a specific waters environment, and its adaptability is significantly improved.

Key words: Landsat 8/9, histogram bimodal method, MNDWI, adaptive threshold

CLC Number:

P237

WANG Ruyue, ZHOU Hangyu. Research and improvement of histogram bimodal method in water body extraction from remote sensing images[J]. Bulletin of Surveying and Mapping, 2023, 0(9): 77-81.

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