MIXTURE ANALYSIS BASED ON SPECTRAL SUMMARIZATION

被引：0

作者：

Bchir, Ouiem ^{[1
]}

Ben Ismail, Mohamed Maher ^{[1
]}

Frigui, Hichem ^{[2
]}

机构：

[1] King Saud Univ, Riyadh, Saudi Arabia

[2] Univ Louisville, Louisville, KY 40292 USA

来源：

2013 5TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS) | 2013年

关键词：

Hyperspectral imaging; spectral mixture analysis; endmember extraction; fuzzy clustering; convex geometry; NONNEGATIVE MATRIX FACTORIZATION; ENDMEMBER EXTRACTION; TRANSFORMS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We introduce a new spectral mixture analysis approach. The proposed Mixture Analysis based on Spectral Summarization (MASS) uses all the wavelengths of the hyperspectral image and assumes a convex geometry model in order to estimate the endmembers and their corresponding abundances. MASS unmixing technique is based on the information provided by the summarization of the hyperspectral image. The summarization is performed through a fuzzy partitioning of the hyperspectral scene.

引用

页数：4

共 21 条

[1]

[Anonymous], 2004, AVIRIS FREE STAND DA

[2]

[Anonymous], 1995, 5 ANN JPL AIRB EARTH

[3]

[Anonymous], Pattern Recognition with Fuzzy Objective Function Algorithms

[4] ICE: A statistical approach to identifying endmembers in hyperspectral images [J].

Berman, M ;

Kiiveri, H ;

Lagerstrom, R ;

Ernst, A ;

Dunne, R ;

Huntington, JF .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (10) :2085-2095

[5] Constrained band selection for hyperspectral imagery [J].

Chang, Chein-I ;

Wang, Su .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2006, 44 (06) :1575-1585

[6]

Chatzis S., 2008, IEEE T FUZZY SYSTEMS, V16

[7] MINIMUM-VOLUME TRANSFORMS FOR REMOTELY-SENSED DATA [J].

CRAIG, MD .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1994, 32 (03) :542-552

[8]

Frigui H., 2008, IEEE T FUZZY SYSTEMS, V16

[9] A TRANSFORMATION FOR ORDERING MULTISPECTRAL DATA IN TERMS OF IMAGE QUALITY WITH IMPLICATIONS FOR NOISE REMOVAL [J].

GREEN, AA ;

BERMAN, M ;

SWITZER, P ;

CRAIG, MD .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1988, 26 (01) :65-74

[10] Spectral unmixing [J].

Keshava, N ;

Mustard, JF .

IEEE SIGNAL PROCESSING MAGAZINE, 2002, 19 (01) :44-57

← 1 2 3 →