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Abstract Based on 15 lakes located in different regions of China, the authors calculated the normalized difference water index (NDWI) for GF-1 satellite remote sensing images, and then employed iterative method, Otsu method and histogram bimodal method for segmentation threshold selection and water information extraction, and finally analyzed the threshold selection results and water information extraction results of the three methods. According to the results obtained, iterative method is similar to the threshold chosen by Otsu method, and the difference between the thresholds selected by histogram bimodal method is large; the iterative method is more efficient; the extraction accuracy of bimodal method is the highest, and its fitting effect is the best. This study can provide selection strategies of adaptive threshold segmentation method for extracting accurate water information from GF-1 images.
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Keywords
GF-1 data
NDWI
adaptive threshold
water extraction
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Corresponding Authors:
Lingkui MENG
E-mail: Lkmeng@whu.edu.cn
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Issue Date: 15 March 2019
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