Anomalies detection in hyperspectral imagery using projection pursuit algorithm

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5573, Issue , 2004, Pages 193-202

  Achard, V ^a   Landrevie, A ^a   Fort, J C ^b  

^a ONERA   (France)

^b UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

Anomaly detection; Genetic algorithm; Hyperspectral imagery; Projection pursuit; Target detection

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; GENETIC ALGORITHMS; IMAGE ANALYSIS; INFORMATION ANALYSIS; RADAR TARGET RECOGNITION; RANDOM PROCESSES; REMOTE SENSING; SPURIOUS SIGNAL NOISE;

ANOMALY DETECTION; HYPERSPECTRAL IMAGERY; PROJECTION PURSUIT; TARGET DETECTION;

IMAGE SENSORS;

EID: 17644391404     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.567664     Document Type: Conference Paper

References (5)

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2. S.-S. Chiang, C.-I. Chang and I. W. Ginsberg, "Unsupervised Target Detection in Hyperspectral Images Using Projection Pursuit", IEEE Trans. Geoscil. Remote Sensing, vol. 39, pp. 1380-1391, Jul. 2001
3. R. O. Green, M. Berman, P. Switzer, and M. D. Craig, "A transformation for Ordering Multispectral Data in Terms of Image Quality with Implications for noise Removar, IEEE Trans. Geoscil. Remote Sensing, vol. 26, n°1, pp 65-74, 1988
4. L. Poutier, C. Miesch, X. Lenot, V. Achard, Y. Boucher, "COMANCHE and COCHISE : two reciprocal atmospheric codes for hyperspectral remote sensing", Proc. AVIRIS Workshop, Pasadena, Feb. 2002
5. Y. Boucher, L. Poutier, V. Achard, X. Lenot, "Validation and robustness of an atmospheric correction algorithm for hyper spectral images", Proc. SPIE. vol. 4725, pp. 459-470, April 2002