A NEW COLOR BALANCE METHOD FOR LARGE-SCALE SEAMLESS IMAGE DATABASE

doi:10.6046/gtzyyg.2006.04.03

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Abstract

Color balance between images is one of the key problems in building large-scale seamless image database. Based on analyzing characteristics of present methods for color balance and for building of large-scale seamless image database, this paper proposals an improved color balance method according to Wallis adaptive filter. Taking into account both local and global information, the method can not only diminish the processing error for each image but also remove the spatial transfer and the accumulation of the processing error. With this method, the preservation of the radiometric resolution becomes easy. Experiments show that this method can diminish the color differences between images and solve the color balance problem effectively.

Keywords Radarsat data Paddy field classification Neural net

TP 751

Issue Date: 24 July 2009

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	Articles by authors

	Liu Hao
	Shao Yuan
	Wang Cuizheng
	Brian Brisco
	Gordon Staples

Cite this article:

Liu Hao,Shao Yuan,Wang Cuizheng, et al. A NEW COLOR BALANCE METHOD FOR LARGE-SCALE SEAMLESS IMAGE DATABASE[J]. REMOTE SENSING FOR LAND & RESOURCES, 2006, 18(4): 10-13.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2006.04.03 OR https://www.gtzyyg.com/EN/Y2006/V18/I4/10

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