An Accurate Approach to Hyperspectral Mineral Identification Based on Naive Bayesian Classification Model

HE Jin-xin; CHEN Sheng-bo; WANG Yang; WU Yan-fan

doi:10.3964/j.issn.1000-0593(2014)02-0505-05

Spectroscopy and Spectral Analysis, Volume. 34, Issue 2, 505(2014)

An Accurate Approach to Hyperspectral Mineral Identification Based on Naive Bayesian Classification Model

HE Jin-xin^1、*, CHEN Sheng-bo², WANG Yang³, and WU Yan-fan³

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¹[in Chinese]

²[in Chinese]

³[in Chinese]

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References(4)

[6] [6] Clark M I， Roberts D A， Clark D B. Remote Sensing of Environment， 2005. 96： 375.

[7] [7] Du Y Z， Chang C I， Ren H ， et al. Optical Engineering， 2004， 43(8)： 1777.

[8] [8] Glenn N F， Mundt J T， Weber K. Remote Sensing of Environment， 2005， 95： 399.

[9] [9] Wang S， Chang C I. IEEE Transaction on Geoscience and Remote Sensing， 2006. 44(6)： 1575.

CLP Journals

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[2] ZHANG Cheng-ye, QIN Qi-ming, Chen Li, Wang Nan, Zhao Shan-shan. Research and development of mineral identification utilizing hyperspectral remote sensing[J]. Optics and Precision Engineering, 2015, 23(8): 2407

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HE Jin-xin, CHEN Sheng-bo, WANG Yang, WU Yan-fan. An Accurate Approach to Hyperspectral Mineral Identification Based on Naive Bayesian Classification Model[J]. Spectroscopy and Spectral Analysis, 2014, 34(2): 505

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Paper Information

Received: May. 1, 2013

Accepted: --

Published Online: Jan. 13, 2015

The Author Email: HE Jin-xin (hejx@jlu.edu.cn)

DOI:10.3964/j.issn.1000-0593(2014)02-0505-05

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