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An algorithm of fuzzy edge detection for wetland remote sensing image based on fuzzy theory.
- Source :
- Applied Nanoscience; Mar2023, Vol. 13 Issue 3, p2261-2269, 9p
- Publication Year :
- 2023
-
Abstract
- The traditional edge detection algorithm of remote sensing images has the problems of loss of detection results and a large proportion of edge detection errors. A fuzzy edge detection algorithm of wetland remote sensing image based on fuzzy theory is proposed. The high fidelity thin cloud removal algorithm of remote sensing image evaluated by thin cloud thickness distribution is used to remove the influence of thin cloud on wetland remote sensing degraded image; the improved fuzzy edge detection algorithm of wetland remote sensing image is used to realize the fuzzy edge detection of wetland remote sensing image. The results show that the proposed algorithm has an ideal cloud removal effect on wetland remote sensing images, and can obtain high fidelity optimal cloud removal images. The algorithm has a small running time, mean square error, high peak signal-to-noise ratio and structural similarity, and small error proportion of edge detection. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 21905509
- Volume :
- 13
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Applied Nanoscience
- Publication Type :
- Academic Journal
- Accession number :
- 162233496
- Full Text :
- https://doi.org/10.1007/s13204-021-02209-4