EXTENDED EXTINCTION PROFILE FOR THE CLASSIFICATION OF HYPERSPECTRAL IMAGES

被引：0

作者：

Ghamisi, Pedram ^{[1
,2
]}

Souza, Roberto ^{[3
]}

Benediktsson, Jon A. ^{[4
]}

Zhu, Xiao Xiang ^{[1
,2
]}

Rittner, Leticia ^{[3
]}

Lotufo, Roberto ^{[3
]}

机构：

[1] German Aerosp Ctr DLR, Remote Sensing Technol Inst IMF, Cologne, Germany

[2] TUM, Signal Proc Earth Observat, Munich, Germany

[3] Univ Estadual Campinas, Sch Elect & Comp Engn, Campinas, SP, Brazil

[4] Univ Iceland, Fac Elect & Comp Engn, Reykjavik, Iceland

来源：

2016 8TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS) | 2016年

基金：

巴西圣保罗研究基金会;

关键词：

Extinction Profile; hyperspectral Image Classification; Support Vector Machine;

D O I：

暂无

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

In this paper, a novel approach is proposed for the spectralspatial classification of hyperspectral images. The proposed classification approach is based on a novel filtering technique, here entitled as extended extinction profile (EEP). The proposed classification approach is applied on two well-known data sets: Pavia University and Indian Pines; and the obtained results have been compared with one of the strongest filtering approaches in the literature named extended attribute profile (EAP). Results confirm that the proposed approach is able to efficiently extract spatial information for the classification of hyperspectral images.

引用

页数：4

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