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Volumn , Issue , 2012, Pages 3066-3069

HYPERSPECTRAL BAND SELECTION THROUGH OPTIMUM-PATH FOREST AND EVOLUTIONARY-BASED ALGORITHMS

Author keywords

[No Author keywords available]

Indexed keywords


EID: 85148691162     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2012.6350778     Document Type: Conference Paper
Times cited : (6)

References (16)
  • 1
    • 18844367208 scopus 로고    scopus 로고
    • Band selection based on feature weighting for classification of hyperspectral data
    • R. Huang and M. He, “Band selection based on feature weighting for classification of hyperspectral data,” IEEE Geoscience and Remote Sensing Letters, vol. 2, no. 2, pp. 156–159, 2005.
    • (2005) IEEE Geoscience and Remote Sensing Letters , vol.2 , Issue.2 , pp. 156-159
    • Huang, R.1    He, M.2
  • 3
    • 0036821665 scopus 로고    scopus 로고
    • Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction
    • oct
    • L.M. Bruce, C.H. Koger, and J. Li, “Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction,” IEEE Transactions on Geoscience and Remote Sensing, vol. 40, no. 10, pp. 2331 – 2338, oct 2002.
    • (2002) IEEE Transactions on Geoscience and Remote Sensing , vol.40 , Issue.10 , pp. 2331-2338
    • Bruce, L.M.1    Koger, C.H.2    Li, J.3
  • 4
    • 77951956144 scopus 로고    scopus 로고
    • Band selection based gaussian processes for hyperspectral remote sensing images classification
    • F. Yao and Y. Qian, “Band selection based gaussian processes for hyperspectral remote sensing images classification,” in 16th IEEE International Conference on Image Processing, 2009, pp. 2845 –2848.
    • (2009) 16th IEEE International Conference on Image Processing , pp. 2845-2848
    • Yao, F.1    Qian, Y.2
  • 6
    • 80955136867 scopus 로고    scopus 로고
    • Particle swarm optimization-based dimensionality reduction for hyperspectral image classification
    • H. Yang and Q. Du, “Particle swarm optimization-based dimensionality reduction for hyperspectral image classification,” in 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011, pp. 2357–2360.
    • (2011) 2011 IEEE International Geoscience and Remote Sensing Symposium , pp. 2357-2360
    • Yang, H.1    Du, Q.2
  • 9
    • 82655173768 scopus 로고    scopus 로고
    • A novel algorithm for feature selection using harmony search and its application for nontechnical losses detection
    • C.C.O. Ramos, A.N. Souza, G. Chiachia, A.X. Falcão, and J.P. Papa, “A novel algorithm for feature selection using harmony search and its application for nontechnical losses detection,” Computers & Electrical Engineering, vol. 37, no. 6, pp. 886–894, 2011.
    • (2011) Computers & Electrical Engineering , vol.37 , Issue.6 , pp. 886-894
    • Ramos, C.C.O.1    Souza, A.N.2    Chiachia, G.3    Falcão, A.X.4    Papa, J.P.5
  • 12
    • 64549119687 scopus 로고    scopus 로고
    • GSA: A gravitational search algorithm
    • E. Rashedi, H. Nezamabadi-pour, and S. Saryazdi, “GSA: A gravitational search algorithm,” Information Sciences, vol. 179, no. 13, pp. 2232–2248, 2009.
    • (2009) Information Sciences , vol.179 , Issue.13 , pp. 2232-2248
    • Rashedi, E.1    Nezamabadi-Pour, H.2    Saryazdi, S.3
  • 16
    • 0347245458 scopus 로고    scopus 로고
    • Effective time variation of g in a model universe with variable space dimension
    • R. Mansouri, F. Nasseri, and M. Khorrami, “Effective time variation of g in a model universe with variable space dimension,” Physics Letters, vol. 259, pp. 194–200, 1999.
    • (1999) Physics Letters , vol.259 , pp. 194-200
    • Mansouri, R.1    Nasseri, F.2    Khorrami, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.