14.2.2.2 Hyperspectral Data Anomaly Detection, Hyper-Spectral Anomaly

Chapter Contents (Back)
Hyperspectral.

Du, Q.[Qian], Chang, C.I.[Chein-I],
A linear constrained distance-based discriminant analysis for hyperspectral image classification,
PR(34), No. 2, February 2001, pp. 361-373.
WWW Version. 0011 BibRef

Chang, C.I.[C. I], Du, Q., Sun, T.L., Althouse, M.L.G.,
A Joint Band Prioritization and Band-Decorrelation Approach to Band Selection for Hyperspectral Image Classification,
GeoRS(7), No. 6, November 1999, pp. 2631.
IEEE Top Reference. 9911 BibRef

Du, Q.[Qian], Nekovei, R.[Reza],
Implementation of real-time constrained linear discriminant analysis to remote sensing image classification,
PR(38), No. 4, April 2005, pp. 459-471.
WWW Version. 0501 BibRef

Du, Q.[Qian],
Unsupervised real-time constrained linear discriminant analysis to hyperspectral image classification,
PR(40), No. 5, May 2007, pp. 1510-1519.
WWW Version. 0702Hyperspectral imagery; Classification; Constrained linear discriminant analysis; Unsupervised constrained linear discriminant analysis; Real-time processing BibRef

Chang, C.I.[Chein-I], Chiang, S.S.[Shao-Shan],
Anomaly detection and classification for hyperspectral imagery,
GeoRS(40), No. 6, June 2002, pp. 1314-1325.
IEEE Top Reference. 0208 See also Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery. See also Hyperspectral Imaging: Techniques for Spectral Detection and Classification. BibRef

Chang, C.I.[Chein-I], Liu, W.M.[Wei-Min], Chang, C.C.[Chein-Chi],
Discrimination and identification for subpixel targets in hyperspectral imagery,
ICIP04(V: 3339-3342).
IEEE DOI Reference 0505 BibRef

Chang, C.I., Ren, H.[Hsuan], Chiang, S.S.[Shao-Shan],
Real-time processing algorithms for target detection and classification in hyperspectral imagery,
GeoRS(39), No. 4, April 2001, pp. 760-768.
IEEE Top Reference. 0105 BibRef

Chiang, S.S.[Shao-Shan], Chang, C.I., Ginsberg, I.W.,
Unsupervised target detection in hyperspectral images using projection pursuit,
GeoRS(39), No. 7, July 2001, pp. 1380-1391.
IEEE Top Reference. 0108 BibRef

Chang, C.I.[Chein-I],
Target signature-constrained mixed pixel classification for hyperspectral imagery,
GeoRS(40), No. 5, May 2002, pp. 1065-1081.
IEEE Top Reference. 0206 BibRef

Du, Q.[Qian], Ren, H.[Hsuan],
Real-time constrained linear discriminant analysis to target detection and classification in hyperspectral imagery,
PR(36), No. 1, January 2003, pp. 1-12.
WWW Version. 0210 BibRef

Mayer, R., Priest, R.,
Object detection using transformed signatures in multitemporal hyperspectral imagery,
GeoRS(40), No. 4, April 2002, pp. 831-840.
IEEE Top Reference. 0206 BibRef

Mayer, R., Bucholtz, F., Scribner, D.,
Object detection by using 'whitening/dewhitening' to transform target signatures in multitemporal hyperspectral and multispectral imagery,
GeoRS(41), No. 5, May 2003, pp. 1136-1142.
IEEE Abstract. IEEE Top Reference. 0307 BibRef

Kwon, H.S.[Hee-Sung], Nasrabadi, N.M.[Nasser M.],
Kernel Matched Subspace Detectors for Hyperspectral Target Detection,
PAMI(28), No. 2, February 2006, pp. 178-194.
IEEE DOI Reference 0601 BibRef

Kwon, H.S.[Hee-Sung], Nasrabadi, N.M.[Nasser M.],
Kernel Orthogonal Subspace Projection for Hyperspectral Signal Classification,
GeoRS(43), No. 12, December 2005, pp. 2952-2962.
IEEE DOI Reference 0512 BibRef
Earlier:
Hyperspectral Target Detection Using Kernel Orthogonal Subspace Projection,
ICIP05(II: 702-705).
IEEE DOI Reference 0512 BibRef
And:
Kernel Matched Signal Detectors for Hyperspectral Target Detection,
OTCBVS05(III: 6-6).
IEEE DOI Reference 0507 BibRef
Earlier:
Hyperspectral target detection using kernel matched subspace detector,
ICIP04(V: 3327-3330).
IEEE DOI Reference 0505 BibRef
Earlier:
Hyperspectral anomaly detection using kernel rx-algorithm,
ICIP04(V: 3331-3334).
IEEE DOI Reference 0505 BibRef
Earlier:
Hyperspectral Target Detection Using Kernel Spectral Matched Filter,
OTCBVS04(127).
HTML Version. 0502 BibRef

Nasrabadi, N.M.[Nasser M.],
Regularized Spectral Matched Filter for Target Recognition in Hyperspectral Imagery,
SPLetters(15), No. 1, 2008, pp. 317-320.
IEEE DOI Reference 0804 BibRef
Earlier:
Kernel-Based Spectral Matched Signal Detectors for Hyperspectral Target Detection,
PReMI07(67-76).
Springer DOI Reference 0712 BibRef
And:
Regularized Spectral Matched Filter for Target Detection in Hyperspectral Imagery,
ICIP07(IV: 105-108).
IEEE DOI Reference 0709 BibRef

Kwon, H.S.[Hee-Sung], Nasrabadi, N.M.[Nasser M.],
Kernel Spectral Matched Filter for Hyperspectral Imagery,
IJCV(71), No. 2, February 2007, pp. 127-141.
Springer DOI Reference 0609 BibRef

Kwon, H.S.[Hee-Sung], Der, S.Z., Nasrabadi, N.M.,
Projection-based adaptive anomaly detection for hyperspectral imagery,
ICIP03(I: 1001-1004).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Acito, N., Corsini, G., Diani, M.,
Adaptive detection algorithm for full pixel targets in hyperspectral images,
VISP(152), No. 6, December 2005, pp. 731-740.
WWW Version. 0512 BibRef

Banerjee, A.[Amit], Burlina, P.[Philippe], Diehl, C.,
A Support Vector Method for Anomaly Detection in Hyperspectral Imagery,
GeoRS(44), No. 8, August 2006, pp. 2282-2291.
IEEE DOI Reference 0608 BibRef

Banerjee, A.[Amit], Burlina, P.[Philippe], Meth, R.[Reuven],
Fast Hyperspectral Anomaly Detection via SVDD,
ICIP07(IV: 101-104).
IEEE DOI Reference 0709 BibRef

Duran, O., Petrou, M.,
A Time-Efficient Method for Anomaly Detection in Hyperspectral Images,
GeoRS(45), No. 12, December 2007, pp. 3894-3904.
IEEE DOI Reference 0711 BibRef

Di, W.[Wei], Pan, Q.[Quan], He, L.[Lin], Cheng, Y.M.[Yong-Mei],
Anomaly Detection in Hyperspectral Imagery by Fuzzy Integral Fusion of Band-subsets,
PhEngRS(74), No. 2, February 2008, pp. 201-214.
WWW Version. 0803An anomaly target detection algorithm in hyperspectral imagery through merging detection results of band-subsets by a fuzzy integral fusion method. BibRef

He, L.[Lin], Pan, Q.[Quan], Di, W.[Wei], Li, Y.Q.[Yuan-Qing],
Anomaly detection in hyperspectral imagery based on maximum entropy and nonparametric estimation,
PRL(29), No. 9, 1 July 2008, pp. 1392-1403.
WWW Version. 0711Hyperspectral imagery; Anomaly detection; Maximum entropy and nonparametric estimation detector BibRef

Malpica, J.A.[Jose A.], Rejas, J.G.[Juan G.], Alonso, M.C.[Maria C.],
A projection pursuit algorithm for anomaly detection in hyperspectral imagery,
PR(41), No. 11, November 2008, pp. 3313-3327.
WWW Version. 0808Hyperspectral imagery; Projection pursuit; Simulated annealing; Simplex optimization BibRef


Huck, A.[Alexis], Guillaume, M.[Mireille],
Independent Component Analysis-Based Estimation of Anomaly Abundances in Hyperspectral Images,
ACIVS07(168-177).
Springer DOI Reference 0708 BibRef

Gu, Y.F.[Yan-Feng], Zhang, Y.[Ye], Liu, Y.[Ying],
Unmixing Component Analysis for Anomaly Detection in Hyperspectral Imagery,
ICIP06(965-968). 0610
IEEE DOI Reference BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Unsupervised Clustering, Classification .


Last update:Nov 24, 2008 at 09:33:56