Efficient transmission and classification of hyperspectral image data

被引：8

作者：

Jia, XP ^{[1
]}

Richards, JA

机构：

[1] Univ New S Wales, Australian Def Force Acad, Univ Coll, Sch Elect Engn, Campbell, ACT 2600, Australia

[2] Australian Natl Univ, Res Sch Informat Sci & Engn, Canberra, ACT 0200, Australia

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2003年 / 41卷 / 05期

关键词：

clustering classification; hyperspectral; transmission;

D O I：

10.1109/TGRS.2003.810710

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

An extension of a newly developed cluster-space representation is applied. to efficient data transmission and classification. Cluster-space classification, which is an automatic hybrid supervised and unsupervised classification procedure, can be performed in two stages. A "sentiprqduct" with low entropy is generated at the sender end. It is then transmitted to a range of users for further classification. Experiments using a HyMap dataset demonstrate the advantages in data transmission and the satisfactory classification accuracy.

引用

页码：1129 / 1131

页数：3

共 5 条

[1] Robust hyperspectral image coding with channel-optimized trellis-coded quantization [J].

Abousleman, GP ;

Lam, TT ;

Karam, LJ .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (04) :820-830

[2] Cluster-space representation for hyperspectral data classification [J].

Jia, XP ;

Richards, JA .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (03) :593-598

[3]

KUO BC, 2002, P IGARSS TOR ON CAN

[4]

Richards J.A., 2006, REMOTE SENSING DIGIT

[5] The lossless compression of AVIRIS images by vector quantization [J].

Ryan, MJ ;

Arnold, JF .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1997, 35 (03) :546-550

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