THE BEST DENSITY SEPARATION METHOD FOR EXTRACTING ROCK INFORMATION FROM REMOTE SENSING IMAGE

doi:10.6046/gtzyyg.2002.04.11

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Abstract The authors introduced the best separation method for ordered geological variables in mathematical geology into the extraction of rock information from remote sensing image, and then changed and improved the method, thus forming the best density separation method for remote sensing image. On such a basis, computer programming was performed to actualize the improved method. This paper deals mainly with the basic principle, actualizing means and applications of the method.

Keywords Discretization Examination of normal distribution Hybrid Bayesian network classifier Multi-source remote sensing data Land classification

Issue Date: 02 August 2011

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	LI Feng
	GAO Zhao-Liang

Cite this article:

LI Feng,GAO Zhao-Liang. THE BEST DENSITY SEPARATION METHOD FOR EXTRACTING ROCK INFORMATION FROM REMOTE SENSING IMAGE[J]. REMOTE SENSING FOR LAND & RESOURCES, 2002, 14(4): 51-54.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2002.04.11 OR https://www.gtzyyg.com/EN/Y2002/V14/I4/51

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