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Volumn , Issue , 2011, Pages 3720-3723

A novel active learning strategy for domain adaptation in the classification of remote sensing images

Author keywords

active learning; classification; domain adaptation; hyperspectral data; remote sensing; transfer learning

Indexed keywords

ACTIVE LEARNING; CLASSIFICATION OF REMOTE SENSING IMAGE; CLASSIFICATION SYSTEM; DOMAIN ADAPTATION; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL DATA; NOVEL TECHNIQUES; SUPERVISED CLASSIFIERS; TARGET DOMAIN; TRAINING SETS; TRANSFER LEARNING;

EID: 80955125310     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2011.6050033     Document Type: Conference Paper
Times cited : (23)

References (8)
  • 1
    • 0035248272 scopus 로고    scopus 로고
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    • DOI 10.1109/36.905255, PII S0196289201011585
    • L. Bruzzone, D. Fernandez Prieto, "Unsupervised retraining of a maximum-likelihood classifier for the analysis of multitemporal remote-sensing images," IEEE Trans. Geosci. Remote Sens., Vol. 39, No.2, pp. 456-460, 2001. (Pubitemid 32271010)
    • (2001) IEEE Transactions on Geoscience and Remote Sensing , vol.39 , Issue.2 , pp. 456-460
    • Bruzzone, L.1    Prieto, D.F.2
  • 2
    • 77949852900 scopus 로고    scopus 로고
    • Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy
    • 2010
    • L. Bruzzone, M. Marconcini, "Domain Adaptation Problems: a DASVM Classification Technique and a Circular Validation Strategy," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 32, 2010, No. 5, pp. 770-787, 2010.
    • (2010) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.32 , Issue.5 , pp. 770-787
    • Bruzzone, L.1    Marconcini, M.2
  • 4
    • 2942558578 scopus 로고    scopus 로고
    • Segmentation of multispectral remote sensing images using active support vector machines
    • DOI 10.1016/j.patrec.2004.03.004, PII S0167865504000704
    • P. Mitra, B. U. Shankar, and S. K. Pal, "Segmentation of multispectral remote sensing images using active support vector machines," Pattern Recognition Letters, Vol. 25, No. 9, pp. 1067-1074, Jul. 2004. (Pubitemid 38763570)
    • (2004) Pattern Recognition Letters , vol.25 , Issue.9 , pp. 1067-1074
    • Mitra, P.1    Uma, S.B.2    Pal, S.K.3
  • 5
    • 79952041537 scopus 로고    scopus 로고
    • Batch Mode Active Learning Methods for the Interactive Classification of Remote Sensing Images
    • B. Demir, C. Persello, L. Bruzzone, "Batch Mode Active Learning Methods for the Interactive Classification of Remote Sensing Images," IEEE Trans. Geosci. Remote Sens., Vol. 49, No.3, pp. 1014-1031, 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.3 , pp. 1014-1031
    • Demir, B.1    Persello, C.2    Bruzzone, L.3
  • 7
    • 41549147912 scopus 로고    scopus 로고
    • An active learning approach to hyperspectral data classification
    • DOI 10.1109/TGRS.2007.910220, 4469868
    • S. Rajan, J. Ghosh, and M. M. Crawford, "An active learning approach to hyperspectral data classification," IEEE Trans. Geosci. Remote Sens., Vol. 46, no. 4, pp. 1231-1242, Apr. 2008. (Pubitemid 351459470)
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.4 , pp. 1231-1242
    • Rajan, S.1    Ghosh, J.2    Crawford, M.M.3
  • 8
    • 70349332954 scopus 로고    scopus 로고
    • A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images with Improved Generalization Capability
    • L. Bruzzone, C. Persello, "A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images with Improved Generalization Capability," IEEE Trans. Geosci. Remote Sens., Vol. 47, No. 9, pp. 3180-3191, 2009.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , Issue.9 , pp. 3180-3191
    • Bruzzone, L.1    Persello, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.