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Volumn 12, Issue 11, 2015, Pages 2331-2335

Remote Sensing Image Classification Exploiting Multiple Kernel Learning

Author keywords

Accuracy; Kernel; Optimization; Remote sensing; Satellites; Standards; Training

Indexed keywords

IMAGE RECONSTRUCTION; LAND USE; REMOTE SENSING;

EID: 84947126165     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2015.2476365     Document Type: Article
Times cited : (20)

References (21)
  • 2
    • 84863271556 scopus 로고    scopus 로고
    • High-resolution satellite scene classification using a sparse coding based multiple feature combination
    • G. Sheng, W. Yang, T. Xu, and H. Sun, "High-resolution satellite scene classification using a sparse coding based multiple feature combination," Int. J. Remote Sens., vol. 33, no. 8, pp. 2395-2412, 2012.
    • (2012) Int. J. Remote Sens. , vol.33 , Issue.8 , pp. 2395-2412
    • Sheng, G.1    Yang, W.2    Xu, T.3    Sun, H.4
  • 3
    • 79955119681 scopus 로고    scopus 로고
    • Gabor descriptors for aerial image classification
    • Berlin, Germany: Springer-Verlag
    • V. Risojević, S. Momić, and Z. Babić, "Gabor descriptors for aerial image classification," in Adaptive and Natural Computing Algorithms. Berlin, Germany: Springer-Verlag, 2011, pp. 51-60.
    • (2011) Adaptive and Natural Computing Algorithms , pp. 51-60
    • Risojević, V.1    Momić, S.2    Babić, Z.3
  • 4
    • 84874662600 scopus 로고    scopus 로고
    • Fusion of global and local descriptors for remote sensing image classification
    • V. Risojevic and Z. Babic, "Fusion of global and local descriptors for remote sensing image classification," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 4, pp. 836-840, 2013.
    • (2013) IEEE Geosci. Remote Sens. Lett. , vol.10 , Issue.4 , pp. 836-840
    • Risojevic, V.1    Babic, Z.2
  • 5
    • 84881242291 scopus 로고    scopus 로고
    • A hierarchical scheme of multiple feature fusion for high-resolution satellite scene categorization
    • W. Shao, W. Yang, G.-S. Xia, and G. Liu, "A hierarchical scheme of multiple feature fusion for high-resolution satellite scene categorization," in Proc. Comput. Vis. Syst., 2013, pp. 324-333.
    • Proc. Comput. Vis. Syst., 2013 , pp. 324-333
    • Shao, W.1    Yang, W.2    Xia, G.-S.3    Liu, G.4
  • 7
    • 78650941566 scopus 로고    scopus 로고
    • Satellite image classification via two-layer sparse coding with biased image representation
    • D. Dai and W. Yang, "Satellite image classification via two-layer sparse coding with biased image representation," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 1, pp. 173-176, 2011.
    • (2011) IEEE Geosci. Remote Sens. Lett. , vol.8 , Issue.1 , pp. 173-176
    • Dai, D.1    Yang, W.2
  • 10
    • 77957001686 scopus 로고    scopus 로고
    • Learning relevant image features with multiple-kernel classification
    • Oct.
    • D. Tuia, G. Camps-Valls, G. Matasci, and M. Kanevski, "Learning relevant image features with multiple-kernel classification," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 10, pp. 3780-3791, Oct. 2010.
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.10 , pp. 3780-3791
    • Tuia, D.1    Camps-Valls, G.2    Matasci, G.3    Kanevski, M.4
  • 11
    • 77949784467 scopus 로고    scopus 로고
    • Sparse multiple kernel learning for signal processing applications
    • May
    • N. Subrahmanya and Y. C. Shin, "Sparse multiple kernel learning for signal processing applications," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 5, pp. 788-798, May 2010.
    • (2010) IEEE Trans. Pattern Anal. Mach. Intell. , vol.32 , Issue.5 , pp. 788-798
    • Subrahmanya, N.1    Shin, Y.C.2
  • 12
    • 84862993024 scopus 로고    scopus 로고
    • Representative multiple kernel learning for classification in hyperspectral imagery
    • Jul.
    • Y. Gu et al., "Representative multiple kernel learning for classification in hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 7, pp. 2852-2865, Jul. 2012.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.7 , pp. 2852-2865
    • Gu, Y.1
  • 15
    • 84858738634 scopus 로고    scopus 로고
    • Efficient and accurate lp-norm multiple kernel learning
    • M. Kloft et al., "Efficient and accurate lp-norm multiple kernel learning," Adv. NIPS, vol. 22, no. 22, pp. 997-1005, 2009.
    • (2009) Adv. NIPS , vol.22 , Issue.22 , pp. 997-1005
    • Kloft, M.1
  • 17
    • 84863260791 scopus 로고    scopus 로고
    • Structural high-resolution satellite image indexing
    • G.-S. Xia et al., "Structural high-resolution satellite image indexing," in Proc. ISPRS TC VII , 2010, vol. 38, pp. 298-303.
    • Proc. ISPRS TC VII , 2010 , vol.38 , pp. 298-303
    • Xia, G.-S.1
  • 18
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, 2004.
    • (2004) Int. J. Comput. Vis. , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 19
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape of the scene: A holistic representation of the spatial envelope
    • A. Oliva and A. Torralba, "Modeling the shape of the scene: A holistic representation of the spatial envelope," Int. J. Comput. Vis., vol. 42, no. 3, pp. 145-175, 2001.
    • (2001) Int. J. Comput. Vis. , vol.42 , Issue.3 , pp. 145-175
    • Oliva, A.1    Torralba, A.2
  • 20
    • 77955990360 scopus 로고    scopus 로고
    • Object recognition as ranking holistic figure-ground hypotheses
    • F. Li, J. Carreira, and C. Sminchisescu, "Object recognition as ranking holistic figure-ground hypotheses," in Proc. IEEE CVPR, 2010, pp. 1712-1719.
    • Proc. IEEE CVPR, 2010 , pp. 1712-1719
    • Li, F.1    Carreira, J.2    Sminchisescu, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.