Haze optimized transform on Landsat 8 imagery for thin cloud detection and removal

Landsat images, being optically captured, contain one of the most fundamental remote sensing issues-- cloud and haze contamination. Various algorithms have been developed through the years to correct haze contamination and maximize the use of archived Landsat images since its launch in 1972. One suc...

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Bibliographische Detailangaben

Veröffentlicht in:	Philippine Engineering Journal 36, 2 (2 copies) (2015(D)).
1. Verfasser:	Tupas, Mark Edwin A.
Format:	Artikel
Sprache:	English
Schlagworte:	Remote sensing. Relative radiometric correction. Haze removal. Landsat 8. Haze optimized transform.
Online Zugang:	Also available online for University of the Philippines Diliman. Click here