THE CONDITIONAL SMOOTHING FILTER AND ITS APPLICATION

doi:10.6046/gtzyyg.1989.02.07

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Abstract

The conditional smoothing filter is a nonlinear filter, which can hot only highlights the low frequency information, but also preserves useful edges and compresses blurning effect of smoothing filter by setting a threshold to control the smoothing possess, It is a useful pre-processing method for image classfi cation and information extraction. This paper presented the .principle and algorithm of this method and its implementation in S101 image processing system.Two examples are given to illustrate its application to remote sensing image processing.

Keywords Desertification MODIS image Normalized difference vegetation index (NDVI) Vegetation fraction

Issue Date: 02 August 2011

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	Du-Zi-Tao
	ZHAN Yu-Lin
	WANG Chang-Yao
	SONG Guang-Zhi
	XI Xiao-huan

Cite this article:

Du-Zi-Tao,ZHAN Yu-Lin,WANG Chang-Yao, et al. THE CONDITIONAL SMOOTHING FILTER AND ITS APPLICATION[J]. REMOTE SENSING FOR LAND & RESOURCES, 1989, 1(2): 44-46.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1989.02.07 OR https://www.gtzyyg.com/EN/Y1989/V1/I2/44

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