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Volumn 18, Issue 4, 1997, Pages 741-762

Textural neural network and version space classifiers for remote sensing

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; PATTERN RECOGNITION; REMOTE SENSING; STATISTICAL METHODS;

EID: 0031105924     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311697218737     Document Type: Article
Times cited : (21)

References (22)
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    • Benediktsson, J. A., Swain, P. H. and Ersoy, O. K., 1989, Neural network approaches versus statistical methods in classification of multisource remote sensing data. I.E.E.E. Transactions on Geoscience and Remote Sensing, 28, 540-552.
    • (1989) I.E.E.E. Transactions on Geoscience and Remote Sensing , vol.28 , pp. 540-552
    • Benediktsson, J.A.1    Swain, P.H.2    Ersoy, O.K.3
  • 8
    • 0025198768 scopus 로고
    • Texture feature performance for image segmentation
    • Du Buf, J. M., Kardan, M. and Spann, M., 1990, Texture feature performance for image segmentation. Pattern Recognition, 23, 291-309.
    • (1990) Pattern Recognition , vol.23 , pp. 291-309
    • Du Buf, J.M.1    Kardan, M.2    Spann, M.3
  • 9
    • 0018466704 scopus 로고
    • Statistical and structural approaches to texture
    • Harauck, R. M., 1979, Statistical and structural approaches to texture. Proceedings of the I.E.E.E., 67, 786-804.
    • (1979) Proceedings of the I.E.E.E. , vol.67 , pp. 786-804
    • Harauck, R.M.1
  • 10
    • 0015984940 scopus 로고
    • Combined spectral and spatial processing of ERTS imagery data
    • Harauck, R. M. and Shanmugam, K., 1974, Combined spectral and spatial processing of ERTS imagery data. Remote Sensing of the Environment, 3, 3-13.
    • (1974) Remote Sensing of the Environment , vol.3 , pp. 3-13
    • Harauck, R.M.1    Shanmugam, K.2
  • 11
    • 0024082469 scopus 로고
    • Quantifying inductive bias: AI learning algorithms and Valiant’s learning framework
    • HaussLer, D., 1988, Quantifying inductive bias: AI learning algorithms and Valiant’s learning framework. Artificial Intelligence, 36, 177-221.
    • (1988) Artificial Intelligence , vol.36 , pp. 177-221
    • Haussler, D.1
  • 12
    • 0025573206 scopus 로고
    • Artificial neural network classification using a minimal training set: Comparison to conventional supervised classification
    • Hepner, G. F., Logan, T., Ritter, N. and Bryant, N., 1990, Artificial neural network classification using a minimal training set: Comparison to conventional supervised classification. Photogrammetric Engineering and Remote Sensing, 56, 469-473.
    • (1990) Photogrammetric Engineering and Remote Sensing , vol.56 , pp. 469-473
    • Hepner, G.F.1    Logan, T.2    Ritter, N.3    Bryant, N.4
  • 13
    • 3743082455 scopus 로고
    • Center’s Director Discretionary Fund Report CAAC-3930, NASA, Computer Systems Branch/Sverdrup Technology, Data Services Department, Stennis Space Center, MS, U.S.A
    • Kaminsky, E. J., Rana, S. and Miner, D., 1993. Neural network classification of MSS remotely sensed data. Center’s Director Discretionary Fund Report CAAC-3930, NASA, Computer Systems Branch/Sverdrup Technology, Data Services Department, Stennis Space Center, MS, U.S.A.
    • (1993) Neural Network Classification of MSS Remotely Sensed Data
    • Kaminsky, E.J.1    Rana, S.2    Miner, D.3
  • 14
    • 0029543410 scopus 로고
    • Neural Network classification of remote sensing data
    • Kaminsky, E. J., Miner, D. and Rana, S., 1995, Neural Network classification of remote sensing data. Computers and Geosciences, 21, 377-386.
    • (1995) Computers and Geosciences , vol.21 , pp. 377-386
    • Kaminsky, E.J.1    Miner, D.2    Rana, S.3
  • 16
    • 85010578977 scopus 로고
    • Version Spaces: An Approach to Concept Learning, Ph.D. thesis, Stanford University, U.S.A
    • Mitchen, T. M., 1987, Version Spaces: An Approach to Concept Learning, Ph.D. thesis, Stanford University, U.S.A.
    • (1987)
    • Mitchen, T.M.1
  • 17
    • 3743107999 scopus 로고
    • Generalization as search
    • edited by Shavlick and Dietterich, (San Mateo, CA: Morgan Kaufmann Publishers, Inc
    • Mitchen, T. M., 1990, Generalization as search. In Readings in Machine Learning, edited by Shavlick and Dietterich, (San Mateo, CA: Morgan Kaufmann Publishers, Inc.), pp. 96-107.
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    • Mitchen, T.M.1
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.