Comparison of histogram-curve fitting-based and global threshold methods for cloud detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences,Environmental Chemistry,Environmental Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13762-023-05379-6.pdf
Reference42 articles.
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4. Frantz D, Haß E, Uhl A, Stoffels J, Hill J (2018) Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects. Remote Sens Environ 215:471–481
5. Gómez-Chova L, Camps-Valls G, Amorós-López J, Guanter L, Alonso L, Calpe J, Moreno J (2006) New cloud detection algorithm for multispectral and hyperspectral images: application to ENVISAT/MERIS and PROBA/CHRIS sensors. In: IEEE international symposium on geoscience and remote sensing, 2006 Denver, Colorado. IEEE, pp 2757–2760
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