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Volumn 19, Issue 2, 2015, Pages 228-239

Fusion of pixel-based and multi-scale region-based features for the classification of high-resolution remote sensing image

Author keywords

Fusion; High resolution remote sensing image; Multi scale; PSI; SVM

Indexed keywords


EID: 84926320518     PISSN: 10074619     EISSN: None     Source Type: Journal    
DOI: 10.11834/jrs.20154035     Document Type: Article
Times cited : (30)

References (31)
  • 1
    • 0029273845 scopus 로고
    • An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters
    • Baraldi E and Parmiggiani F. 1995.An investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters. IEEE Transactions on Geoscience and Remote Sensing, 33(2): 293-304 [DOI: 10.1109/36.377929]
    • (1995) IEEE Transactions on Geoscience and Remote Sensing , vol.33 , Issue.2 , pp. 293-304
    • Baraldi, E.1    Parmiggiani, F.2
  • 2
    • 73249139477 scopus 로고    scopus 로고
    • Object based image analysis for remote sensing
    • Blaschke T. 2010.Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1): 2-16 [DOI: 10.1016/j.isprsjprs.2009.06.004]
    • (2010) ISPRS Journal of Photogrammetry and Remote Sensing , vol.65 , Issue.1 , pp. 2-16
    • Blaschke, T.1
  • 3
    • 0142003038 scopus 로고    scopus 로고
    • A multi-scale segmentation/object relationship modeling methodology for landscape analysis
    • Burnett C and Blaschke T. 2003.A multi-scale segmentation/object relationship modeling methodology for landscape analysis. Ecological Modelling, 168(3): 233-249 [DOI: 10.1016/S0304-3800(03)00139-X]
    • (2003) Ecological Modelling , vol.168 , Issue.3 , pp. 233-249
    • Burnett, C.1    Blaschke, T.2
  • 4
    • 33644539317 scopus 로고    scopus 로고
    • Accuracy assessment of per-field classification integrating very fine spatial resolution satellite imagery with topographic data
    • Caprioli M and Tarantino E. 2001.Accuracy assessment of per-field classification integrating very fine spatial resolution satellite imagery with topographic data. Journal of Geospatial Engineering, 2001, 3(2): 127-134.
    • (2001) Journal of Geospatial Engineering , vol.3 , Issue.2 , pp. 127-134
    • Caprioli, M.1    Tarantino, E.2
  • 6
    • 84870523473 scopus 로고    scopus 로고
    • Rough set theory based object-oriented classification of high resolution remotely sensed imagery
    • Cheng J, Deng M, Xiao P F, Yang M H and Mei X M. 2010.Rough set theory based object-oriented classification of high resolution remotely sensed imagery. Journal of Remote Sensing, 14(6): 1139-1155
    • (2010) Journal of Remote Sensing , vol.14 , Issue.6 , pp. 1139-1155
    • Cheng, J.1    Deng, M.2    Xiao, P.F.3    Yang, M.H.4    Mei, X.M.5
  • 8
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes C and Vapnik V. 1995.Support-vector networks. Machine Learning, 20(3): 273-297 [DOI: 10.1007/BF00994018]
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 9
    • 34147106884 scopus 로고    scopus 로고
    • Mapping land cover from detailed aerial photography data using textural and neural network analysis
    • Cots-Folch R, Aitkenhead M J and Martínez-Casasnovas J A. 2007.Mapping land cover from detailed aerial photography data using textural and neural network analysis. International Journal of Remote Sensing, 28(7): 1625-1642 [DOI: 10.1080/01431160600887722]
    • (2007) International Journal of Remote Sensing , vol.28 , Issue.7 , pp. 1625-1642
    • Cots-Folch, R.1    Aitkenhead, M.J.2    Martínez-Casasnovas, J.A.3
  • 10
    • 0242543183 scopus 로고    scopus 로고
    • Classification of optical high resolution images in urban environment using spectral and textural information
    • Toulouse, France: IEEE
    • De Martinao M, Causa F and Serpico S B. 2003.Classification of optical high resolution images in urban environment using spectral and textural information // Proceedings of IEEE International Geoscience and Remote Sensing Symposium. Toulouse, France: IEEE, 1: 467-469 [DOI: 10.1109/IGARSS.2003.1293811]
    • (2003) Proceedings of IEEE International Geoscience and Remote Sensing Symposium , vol.1 , pp. 467-469
    • de Martinao, M.1    Causa, F.2    Serpico, S.B.3
  • 12
    • 84255181008 scopus 로고    scopus 로고
    • Classification of high spatial resolution remotely sensed imagery based on the fusion of spectral and shape features
    • Huang X, Zhang L P and Li P X. 2007.Classification of high spatial resolution remotely sensed imagery based on the fusion of spectral and shape features. Journal of Remote Sensing, 11(2): 193-200.
    • (2007) Journal of Remote Sensing , vol.11 , Issue.2 , pp. 193-200
    • Huang, X.1    Zhang, L.P.2    Li, P.X.3
  • 13
    • 34247394279 scopus 로고    scopus 로고
    • Classification and extraction of spatial features in urban areas using high-resolution multispectral imagery
    • Huang X, Zhang L P and Li P X. 2007.Classification and extraction of spatial features in urban areas using high-resolution multispectral imagery. IEEE Geoscience and Remote Sensing Letters, 4(2): 260-264 [DOI: 10.1109/LGRS.2006.890540]
    • (2007) IEEE Geoscience and Remote Sensing Letters , vol.4 , Issue.2 , pp. 260-264
    • Huang, X.1    Zhang, L.P.2    Li, P.X.3
  • 14
    • 70350153353 scopus 로고    scopus 로고
    • An adaptive mean-shift analysis approach for object extraction and classification from urban hyperspectral imagery
    • Huang X and Zhang L P. 2008.An adaptive mean-shift analysis approach for object extraction and classification from urban hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 46(12): 4173-4185 [DOI: 10.1109/TGRS.2008.2002577]
    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.12 , pp. 4173-4185
    • Huang, X.1    Zhang, L.P.2
  • 15
    • 84902285531 scopus 로고    scopus 로고
    • Multiscale Texture and Shape Feature Extraction and Object-Oriented Classification for Very High Resoultion Remotely Sensed Imagery
    • Wuhan: Wuhan University
    • Huang X. 2009.Multiscale Texture and Shape Feature Extraction and Object-Oriented Classification for Very High Resoultion Remotely Sensed Imagery. Wuhan: Wuhan University: 78-81.
    • (2009) , pp. 78-81
    • Huang, X.1
  • 16
    • 84871748730 scopus 로고    scopus 로고
    • An SVM ensemble approach combining spectral, structural, and semantic features for the classification of high-resolution remotely sensed imagery
    • Huang X and Zhang L P. 2013.An SVM ensemble approach combining spectral, structural, and semantic features for the classification of high-resolution remotely sensed imagery. IEEE Transactions on Geoscience and Remote Sensing, 51(1): 257-272 [DOI: 10.1109/TGRS.2012.2202912]
    • (2013) IEEE Transactions on Geoscience and Remote Sensing , vol.51 , Issue.1 , pp. 257-272
    • Huang, X.1    Zhang, L.P.2
  • 17
    • 84896519907 scopus 로고    scopus 로고
    • Land cover classification of compositing HJ-1 and MODIS data based on object-based method
    • Jia M M, Wang Z M, Zhang B and Ding Z. 2014.Land cover classification of compositing HJ-1 and MODIS data based on object-based method. Geomatics and Information Science of Wuhan University, 39(3): 305-310[DOI: 10.13203/j.whugis20120735]
    • (2014) Geomatics and Information Science of Wuhan University , vol.39 , Issue.3 , pp. 305-310
    • Jia, M.M.1    Wang, Z.M.2    Zhang, B.3    Ding, Z.4
  • 18
    • 66549120424 scopus 로고    scopus 로고
    • Unsupervised change detection in high resolution satellite imagery from fusion of spectral and spatial information
    • Boston, MA: IEEE
    • Li Y H and Davis C H. 2008.Unsupervised change detection in high resolution satellite imagery from fusion of spectral and spatial information // Proceedings of Geoscience and Remote Sensing Symposium. Boston, MA: IEEE, 2: II-109-II-112 [DOI 10.1109/IGARSS.2008.4778939]
    • (2008) Proceedings of Geoscience and Remote Sensing Symposium , vol.2
    • Li, Y.H.1    Davis, C.H.2
  • 19
    • 84869790058 scopus 로고    scopus 로고
    • Key Problems of Applying Support Vector Machines to the Classification of Spectral Remote Sensing Imagery
    • Wuhan: Wuhan University
    • Liu Z G. 2004.Key Problems of Applying Support Vector Machines to the Classification of Spectral Remote Sensing Imagery. Wuhan: Wuhan University: 37-40
    • (2004) , pp. 37-40
    • Liu, Z.G.1
  • 20
    • 0033101072 scopus 로고    scopus 로고
    • Unsupervised texture segmentation using feature distributions
    • Ojala T and Pietikäinen M. 1999.Unsupervised texture segmentation using feature distributions. Pattern Recognition, 32(3): 477-486 [DOI: 10.1016/S0031-3203(98)00038-7]
    • (1999) Pattern Recognition , vol.32 , Issue.3 , pp. 477-486
    • Ojala, T.1    Pietikäinen, M.2
  • 21
    • 0242292075 scopus 로고    scopus 로고
    • A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas
    • Shackelford A K and Davis C H. 2003.A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas. IEEE Transactions on Geoscience and Remote Sensing, 41(10): 2354-2363 [DOI: 10.1109/TGRS.2003.815972]
    • (2003) IEEE Transactions on Geoscience and Remote Sensing , vol.41 , Issue.10 , pp. 2354-2363
    • Shackelford, A.K.1    Davis, C.H.2
  • 22
    • 53449095116 scopus 로고    scopus 로고
    • Object-oriented urban land-cover classification of Multi-scale image segmentation method - A case study in Kuala Lumpur City center, Malaysia
    • Su W, Li J, Chen Y H, Zhang J S, Hu D Y and Low T M. 2007.Object-oriented urban land-cover classification of Multi-scale image segmentation method-a case study in Kuala Lumpur City center, Malaysia. Journal of Remote Sensing, 11(4): 521-530
    • (2007) Journal of Remote Sensing , vol.11 , Issue.4 , pp. 521-530
    • Su, W.1    Li, J.2    Chen, Y.H.3    Zhang, J.S.4    Hu, D.Y.5    Low, T.M.6
  • 23
    • 0032594968 scopus 로고    scopus 로고
    • Guest editorial vapnik-chervonenkis (vc) learning theory and its applications
    • Vapnik V. 1999.Guest editorial vapnik-chervonenkis (vc) learning theory and its applications. IEEE Transactions on Neural Networks, 10(5): 985-987 [http://dx.doi.org/10.1109/TNN.1999.788639]
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.5 , pp. 985-987
    • Vapnik, V.1
  • 24
    • 84926350519 scopus 로고    scopus 로고
    • Research on the High Spatial Resolution Remote Sensing Image Segmentation Based on the Nonblurring Mean Shift
    • Wuhan: Wuhan University
    • Wang L G. 2009.Research on the High Spatial Resolution Remote Sensing Image Segmentation Based on the Nonblurring Mean Shift. Wuhan: Wuhan University: 85-87
    • (2009) , pp. 85-87
    • Wang, L.G.1
  • 25
    • 33750084387 scopus 로고    scopus 로고
    • Comparison of pixel-based and object-oriented image classification approaches - A case study in a coal fire area, Wuda, Inner Mongolia, China
    • Yan G, Mas J F, Maathuis B H P, Zhang X M and Van Dijk P M. 2006.Comparison of pixel-based and object-oriented image classification approaches-a case study in a coal fire area, Wuda, Inner Mongolia, China. International Journal of Remote Sensing, 27(18): 4039-4055 [DOI: 10.1080/01431160600702632]
    • (2006) International Journal of Remote Sensing , vol.27 , Issue.18 , pp. 4039-4055
    • Yan, G.1    Mas, J.F.2    Maathuis, B.H.P.3    Zhang, X.M.4    van Dijk, P.M.5
  • 26
    • 33745615125 scopus 로고    scopus 로고
    • Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery
    • Yu Q, Gong P, Chinton N, Biging G, Kelly M and Schirokauer D. 2006.Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery. Photogrammetric Engineering & Remote Sensing, 72(7): 799-811 [http://dx.doi.org/10.14358/PERS.72.7.799]
    • (2006) Photogrammetric Engineering & Remote Sensing , vol.72 , Issue.7 , pp. 799-811
    • Yu, Q.1    Gong, P.2    Chinton, N.3    Biging, G.4    Kelly, M.5    Schirokauer, D.6
  • 27
    • 0035163908 scopus 로고    scopus 로고
    • Classification of hyperspectral data using support vector machine
    • Thessaloniki: IEEE
    • Zhang J P, Zhang Y and Zhou T X. 2001.Classification of hyperspectral data using support vector machine // IEEE International Conference on Image Processing. Thessaloniki: IEEE: 882-885 [DOI: 10.1109/ICIP.2001.959187]
    • (2001) IEEE International Conference on Image Processing
    • Zhang, J.P.1    Zhang, Y.2    Zhou, T.X.3
  • 28
    • 34247346536 scopus 로고    scopus 로고
    • A pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery
    • Zhang L P, Huang X, Huang B and Li P X. 2006.A pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery. IEEE Transactions on Geoscience and Remote Sensing, 44(10): 2950-2961 [DOI: 10.1109/TGRS.2006.876704]
    • (2006) IEEE Transactions on Geoscience and Remote Sensing , vol.44 , Issue.10 , pp. 2950-2961
    • Zhang, L.P.1    Huang, X.2    Huang, B.3    Li, P.X.4
  • 30
    • 84874671232 scopus 로고    scopus 로고
    • Experimental study of methods for high spatial resolution remote sensing data processing
    • Zhao S H. 2006.Experimental study of methods for high spatial resolution remote sensing data processing. Earth Science Frontiers, 13(3): 60-68
    • (2006) Earth Science Frontiers , vol.13 , Issue.3 , pp. 60-68
    • Zhao, S.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.