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Volumn 5, Issue 1, 2008, Pages

Overcoming the small sample size problem in hyperspectral classification and detection tasks

Author keywords

Feature extraction; Hyperspectral; Pattern classification; Target recognition

Indexed keywords

CLASS SEPARATION; CLASSIFICATION PERFORMANCE; CLASSIFICATION SYSTEM; DECISION BOUNDARY; DECISION FUSION; DETECTION TASKS; DIMENSIONALITY REDUCTION TECHNIQUES; FALSE ALARM RATE; GENERALIZATION CAPACITY; GRAY SCALE; HIGH-DIMENSIONAL FEATURE SPACE; HYPER-SPECTRAL CLASSIFICATION; HYPERSPECTRAL; HYPERSPECTRAL DATA; HYPERSPECTRAL SIGNATURES; MULTI-CLASSIFIER; MULTI-SPECTRAL IMAGERY; OVERFITTING; PATTERN CLASSIFICATION; REFLECTANCE VALUES; REGULARIZED LDA; SMALL SAMPLE SIZE PROBLEMS; SPATIAL RELATIONS; SPECIFIC INFORMATION; SPECTRAL BAND; SPECTRAL INFORMATION; TARGET RECOGNITION; TRAINING SETS;

EID: 67649805072     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2008.4780108     Document Type: Conference Paper
Times cited : (21)

References (8)
  • 1
    • 0035391738 scopus 로고    scopus 로고
    • Best-bases feature extraction algorithms for classification of hyperspectral data
    • July
    • S. Kumar, J. Ghosh, M.M. Crawford, "Best-bases feature extraction algorithms for classification of hyperspectral data," IEEE Trans. Geoscience and Remote Sensing, vol. 39, no. 7, pp 1368-1379, July 2001.
    • (2001) IEEE Trans. Geoscience and Remote Sensing , vol.39 , Issue.7 , pp. 1368-1379
    • Kumar, S.1    Ghosh, J.2    Crawford, M.M.3
  • 2
    • 53349155688 scopus 로고    scopus 로고
    • Hyperspectral feature space partitioning via mutual information for data fusion
    • Barcelona, Spain, July 23-27
    • S. Prasad, L.M. Bruce, "Hyperspectral feature space partitioning via mutual information for data fusion," Proc. IEEE Intl. Geoscience and Remote Sensing Symp., Barcelona, Spain, July 23-27, 2007.
    • (2007) Proc. IEEE Intl. Geoscience and Remote Sensing Symp
    • Prasad, S.1    Bruce, L.M.2
  • 4
    • 53349127642 scopus 로고    scopus 로고
    • Decision Fusion with Confidence based Weight Assignment for Hyperspectral Target Recognition
    • May
    • S. Prasad, L.M. Bruce, "Decision Fusion with Confidence based Weight Assignment for Hyperspectral Target Recognition," IEEE Trans. Geoscience and Remote Sensing, vol. 46, no. 5, pp. 1448-1456, May 2008.
    • (2008) IEEE Trans. Geoscience and Remote Sensing , vol.46 , Issue.5 , pp. 1448-1456
    • Prasad, S.1    Bruce, L.M.2
  • 7
    • 0036402348 scopus 로고    scopus 로고
    • Hyperspectral Data Classification Using Nonparametric Weighted Feature Extraction
    • Toronto, Canada, June 24-28
    • B. Kuo and D. A. Landgrebe "Hyperspectral Data Classification Using Nonparametric Weighted Feature Extraction," Proc. IEEE Intl. Geoscience and Remote Sensing Symp., Toronto, Canada, June 24-28, 2002.
    • (2002) Proc. IEEE Intl. Geoscience and Remote Sensing Symp
    • Kuo, B.1    Landgrebe, D.A.2
  • 8
    • 66549101867 scopus 로고    scopus 로고
    • Multiple Kernel Discriminant Analysis and Decision Fusion for Robust Sub-Pixel Hyperspectral Target Recognition
    • Boston, MA, July
    • S. Prasad, L.M. Bruce, "Multiple Kernel Discriminant Analysis and Decision Fusion for Robust Sub-Pixel Hyperspectral Target Recognition," Proc. IEEE Intl. Geoscience and Remote Sensing Symp., Boston, MA, July 2008.
    • (2008) Proc. IEEE Intl. Geoscience and Remote Sensing Symp
    • Prasad, S.1    Bruce, L.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.