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Volumn 59, Issue 3, 2014, Pages 725-734

Novel optimization technique for classification of remote sensing data using SVM

Author keywords

Cuckoo search (CS); Kernel optimization; Remote sensing (RS) images; Salinas's dataset; Support vector machine (SVM)

Indexed keywords


EID: 84893497981     PISSN: 19928645     EISSN: 18173195     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (24)
  • 3
    • 33750798496 scopus 로고    scopus 로고
    • Toward an optimal SVM classification system for hyperspectral remote sensing images
    • Bazi, Y., & Melgani, F. (2006). Toward an optimal SVM classification system for hyperspectral remote sensing images. Geoscience and Remote Sensing, IEEE Transactions on, 44(11), 3374-3385.
    • (2006) Geoscience and Remote Sensing, IEEE Transactions on , vol.44 , Issue.11 , pp. 3374-3385
    • Bazi, Y.1    Melgani, F.2
  • 4
    • 33847157959 scopus 로고    scopus 로고
    • Scaling Gaussian RBF kernel width to improve SVM classification
    • October, ICNN&B'05. International Conference on, IEEE
    • Chang, Q., Chen, Q., & Wang, X. (2005, October). Scaling Gaussian RBF kernel width to improve SVM classification. In Neural Networks and Brain, 2005. ICNN&B'05. International Conference on (Vol. 1, pp. 19-22). IEEE.
    • (2005) Neural Networks and Brain , vol.1 , pp. 19-22
    • Chang, Q.1    Chen, Q.2    Wang, X.3
  • 5
    • 34047138318 scopus 로고    scopus 로고
    • Combining SVMs with various feature selection strategies
    • Springer Berlin Heidelberg
    • Chen, Y. W., & Lin, C. J. (2006). Combining SVMs with various feature selection strategies. In Feature Extraction (pp. 315-324). Springer Berlin Heidelberg.
    • (2006) Feature Extraction , pp. 315-324
    • Chen, Y.W.1    Lin, C.J.2
  • 6
    • 79952041537 scopus 로고    scopus 로고
    • Batch-mode active-learning methods for the interactive classification of remote sensing images
    • Demir, B., Persello, C., & Bruzzone, L. (2011). Batch-mode active-learning methods for the interactive classification of remote sensing images. Geoscience and Remote Sensing, IEEE Transactions on, 49(3), 1014-1031.
    • (2011) Geoscience and Remote Sensing, IEEE Transactions on , vol.49 , Issue.3 , pp. 1014-1031
    • Demir, B.1    Persello, C.2    Bruzzone, L.3
  • 7
    • 77949602253 scopus 로고    scopus 로고
    • Classification of hyperspectral remote sensing images with support vector machines and particle swarm optimization
    • December, 2009. ICIECS 2009. International Conference, IEEE
    • Ding, S., & Chen, L. (2009, December). Classification of hyperspectral remote sensing images with support vector machines and particle swarm optimization. In Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on (pp. 1-5). IEEE.
    • (2009) Information Engineering and Computer Science , pp. 1-5
    • Ding, S.1    Chen, L.2
  • 10
    • 84863404093 scopus 로고    scopus 로고
    • Cuckoo Search Clustering Algorithm: A novel strategy of biomimicry. In Information and Communication Technologies (WICT)
    • December, IEEE
    • Goel, S., Sharma, A., &Bedi, P. (2011, December). Cuckoo Search Clustering Algorithm: A novel strategy of biomimicry. In Information and Communication Technologies (WICT), 2011 World Congress on (pp. 916-921). IEEE.
    • (2011) 2011 World Congress , pp. 916-921
    • Goel, S.1    Sharma, A.2    Bedi, P.3
  • 18
    • 84875907701 scopus 로고    scopus 로고
    • Optimization of support vector machine (SVM) for object classification
    • April, 839806-1
    • Scholten, M., Dhingra, N., Lu, T. T., & Chao, T. H. (2012, April). Optimization of support vector machine (SVM) for object classification. In Proc. of SPIE Vol(Vol. 8398, pp. 839806-1).
    • (2012) Proc. of SPIE , vol.8398
    • Scholten, M.1    Dhingra, N.2    Lu, T.T.3    Chao, T.H.4
  • 19
  • 20
    • 84864864954 scopus 로고    scopus 로고
    • A classification system for remote sensing satellite images using support vector machine with non-linear kernel functions
    • BIO-181, May, IEEE
    • Soliman, O. S., & Mahmoud, A. S. (2012, May). A classification system for remote sensing satellite images using support vector machine with non-linear kernel functions. In Informatics and Systems (INFOS), 2012 8th International Conference on (pp. BIO-181). IEEE.
    • (2012) Informatics and Systems (INFOS), 2012 8th International Conference
    • Soliman, O.S.1    Mahmoud, A.S.2
  • 23
    • 0032594959 scopus 로고    scopus 로고
    • An overview of statistical learning theory
    • Vapnik, V. N. (1999). An overview of statistical learning theory. Neural Networks, IEEE Transactions on, 10(5), 988-999.
    • (1999) Neural Networks, IEEE Transactions on , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.N.1
  • 24
    • 77949623076 scopus 로고    scopus 로고
    • Cuckoo search via Lévy flights. In Nature& Biologically Inspired Computing, 2009
    • December, IEEE
    • Yang, X. S., & Deb, S. (2009, December). Cuckoo search via Lévy flights. In Nature& Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on (pp. 210-214). IEEE.
    • (2009) NaBIC 2009. World Congress , pp. 210-214
    • Yang, X.S.1    Deb, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.