The optimal fusion of multi-spectral remote sensing images between bands by using decomposable Markov networks

Jiannong Cao; De Ren Li; Ze Qun Guan

The optimal fusion of multi-spectral remote sensing images between bands by using decomposable Markov networks

Jiannong Cao, De Ren Li, Ze Qun Guan

Research output: Journal article publication › Journal article › Academic research › peer-review

Abstract

The paper studies concept and method of DMN, analyses its role in spatial data mining, and deeply investigates several score metrics which are used in constructing DMN between multi-bands remote sensing images, and realizes optimal fusion of bands. The researches indicate that the DMN may apropos reveal abstract adjacent relations existing in spatial data, and is basis of in-depth treatment of data. And the DMN oneself has capabilities of showing knowledge. Lastly, point out future direction of its application.

Original language	English
Pages (from-to)	46-52
Number of pages	7
Journal	Acta Geodaetica et Cartographica Sinica
Volume	34
Issue number	1
Publication status	Published - 1 Feb 2005
Externally published	Yes

Keywords

DMN
Multi-bands remote sensing
Probability distance
Spatial data mining

ASJC Scopus subject areas

Earth and Planetary Sciences(all)

Cite this

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abstract = "The paper studies concept and method of DMN, analyses its role in spatial data mining, and deeply investigates several score metrics which are used in constructing DMN between multi-bands remote sensing images, and realizes optimal fusion of bands. The researches indicate that the DMN may apropos reveal abstract adjacent relations existing in spatial data, and is basis of in-depth treatment of data. And the DMN oneself has capabilities of showing knowledge. Lastly, point out future direction of its application.",

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AU - Li, De Ren

AU - Guan, Ze Qun

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N2 - The paper studies concept and method of DMN, analyses its role in spatial data mining, and deeply investigates several score metrics which are used in constructing DMN between multi-bands remote sensing images, and realizes optimal fusion of bands. The researches indicate that the DMN may apropos reveal abstract adjacent relations existing in spatial data, and is basis of in-depth treatment of data. And the DMN oneself has capabilities of showing knowledge. Lastly, point out future direction of its application.

AB - The paper studies concept and method of DMN, analyses its role in spatial data mining, and deeply investigates several score metrics which are used in constructing DMN between multi-bands remote sensing images, and realizes optimal fusion of bands. The researches indicate that the DMN may apropos reveal abstract adjacent relations existing in spatial data, and is basis of in-depth treatment of data. And the DMN oneself has capabilities of showing knowledge. Lastly, point out future direction of its application.

KW - DMN

KW - Multi-bands remote sensing

KW - Probability distance

KW - Spatial data mining

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M3 - Journal article

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ER -

The optimal fusion of multi-spectral remote sensing images between bands by using decomposable Markov networks

Abstract

Keywords

ASJC Scopus subject areas

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