A fast approach to hyperspectral band selection based on time series analysis

2010 Chinese Conference on Pattern Recognition, CCPR 2010 - Proceedings

Volumn , Issue , 2010, Pages 243-247

  Yu, Yufeng ^a   Yang, Jinhua ^a   Li, Shijin ^a  

^a HOHAI UNIVERSITY   (China)

Author keywords

Band selection; Classification; Dimension reduction; Hyperspectral remote sensing; Time series; Wavelet analysis

Indexed keywords

BAND SELECTION; CLASSIFICATION; CLASSIFICATION ACCURACY; CLUSTER CENTERS; DIMENSION REDUCTION; HIGH REDUNDANCY; HYPERSPECTRAL; HYPERSPECTRAL REMOTE SENSING; HYPERSPECTRAL REMOTE SENSING IMAGE; K-MEANS CLUSTERING; SPECTRAL IMAGES; STATE-OF-THE-ART METHODS; SVM CLASSIFIERS; WAVELET FILTERING;

COMPUTATIONAL COMPLEXITY; IMAGE RECONSTRUCTION; PATTERN RECOGNITION; REMOTE SENSING; TIME SERIES; WAVELET ANALYSIS;

TIME SERIES ANALYSIS;

EID: 78651466780     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCPR.2010.5659159     Document Type: Conference Paper

References (16)

1. P S Chavez, G L Berlin, L B. Sowers, Statistical method for selecting Landsat MSS ratios. Journal of applied photographic engineering, 1(8): 23-30, 1982.
2. Adolfo Martinez-Uso, Filiberto Pla, Pedro Garcia-Sevilla, J.M. Sotoca. Clustering-Based Hyperspectral Band Selection Using Information Measures. IEEE Transactions on Geoscience and Remote Sensing, 45(2): 4158-4171, 2007.
3. Barat Mojaradi, etal. Dimensionality Reduction of Hyperspectral Data via Spectral Feature Extraction. IEEE Transactions on Geoscience and Remote Sensing, 47(7): 2091-2105, 2009.
4. N.Bolshakova, F.Azuaje. Cluster validation techniques for genome expression data. Signal Processing, 83(4): 825-833, 2003.
5. C S Perng, H Wang, S R Zhang, et al. Landmarks: a new model for similarity-based pattern querying in time series databases. Proceedings of the 16th International Conference on Data Engineering, San Diego: IEEE, 2000, pp.33-42.
6. D.A Landgrebe. Signal Theory Methods in Multispectral Remote Sensing. Hoboken, NJ: Wiley Interscience, 2003.
7. Journal of Frontiers of Computer Science and Technology, 2010, 4(5): 464-472.
8. S B.Serpico, G Moser, Extraction of Spectral Channels From Hyperspectral Images for Classification Purposes. IEEE Transactions on Geoscience and Remote Sensing, 45(2): 484-494, 2007.