Cloud Detection in Landsat5 Images Based on Template Gradient

Autor:	Ying Zhao Ma, Wang Wei, Wei Li Jiao
Rok vydání:	2011
Předmět:	Cover (telecommunications) Computer science business.industry Remote sensing (archaeology) Cloud cover General Engineering Cloud detection Computer vision Cloud computing Artificial intelligence business Remote sensing Image (mathematics)
Zdroj:	Advanced Materials Research. :205-210
ISSN:	1662-8985
DOI:	10.4028/www.scientific.net/amr.271-273.205
Popis:	Cloud is an important factor affect the quality of optical remote sensing image. How to automatically detect the cloud cover of an image, reduce of useless data transmission, make great significance of higher data rate usefulness. This paper represent a method based on Lansat5 data, which can automatically mark the location of clouds region in each image, and effective calculated for each cloud cover, remove useless remote sensing images.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::43a3567b6e30a04df267d2a3ecf5c3b9 https://doi.org/10.4028/www.scientific.net/amr.271-273.205 Zobrazit plný text záznamu