Hyperspectral Image Classification Based on Gray Level Co-occurrence Matrix and Local Mean Decomposition

被引：0

作者：

Li, Changli ^{[1
]}

Zuo, Hang ^{[1
]}

Fan, Tanghuai ^{[2
]}

机构：

[1] Hohai Univ, Coll Comp & Informat, Adv Signal & IMage Proc Learning & Engn Lab, Nanjing 211100, Jiangsu, Peoples R China

[2] Nanchang Inst Technol, Sch Informat Engn, Nanchang 330099, Jiangxi, Peoples R China

来源：

2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI) | 2017年

基金：

中国国家自然科学基金;

关键词：

hyperspectral image classification; local mean decomposition; gray level co-occurrence matrix; support vector machine;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Traditional hyperspectral image classification methods always focused on spectral information, and lots of spatial information was neglected. Therefore, this paper introduces the spatial texture information in the process of hyperspectral image classification, and it focuses on how to deeply combine the texture information and the spectral information. Based on local mean decomposition and gray level co-occurrence matrix, the method of support vector machine is used to classify the hyperspectral image, in order to improve the image classification accuracy.

引用

页码：1219 / 1223

页数：5

共 10 条

[1]

Davis Larry S., 1979, PAMI, V1, P51

[2] Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles [J].

Fauvel, Mathieu ;

Benediktsson, Jon Atli ;

Chanussot, Jocelyn ;

Sveinsson, Johannes R. .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (11) :3804-3814

[3]

[高恒振 Gao Hengzhen], 2011, [宇航学报, Journal of Chinese Society of Astronautics], V32, P917

[4] TEXTURAL FEATURES FOR IMAGE CLASSIFICATION [J].

HARALICK, RM ;

SHANMUGAM, K ;

DINSTEIN, I .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1973, SMC3 (06) :610-621

[5]

Hong Zhang, 2007, DIGITAL IMAGE PROCES

[6] Demodulation for hydraulic pump fault signals based on local mean decomposition and improved adaptive multiscale morphology analysis [J].

Jiang, Wanlu ;

Zheng, Zhi ;

Zhu, Yong ;

Li, Yang .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2015, 58-59 :179-205

[7] A new rotating machinery fault diagnosis method based on improved local mean decomposition [J].

Li, Yongbo ;

Xu, Minqiang ;

Zhao Haiyang ;

Wei, Yu ;

Huang, Wenhu .

DIGITAL SIGNAL PROCESSING, 2015, 46 :201-214

[8] The local mean decomposition and its application to EEG perception data [J].

Smith, JS .

JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2005, 2 (05) :443-454

[9]

Wenhua Zeng, 2006, THESIS

[10]

Yujin Zhang, 2005, IMAGE ENG, V1

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