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Volumn 105, Issue , 2015, Pages 286-304

Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers

Author keywords

3D scene analysis; Classification; Feature extraction; Feature selection; Neighborhood selection; Point cloud

Indexed keywords

COMPUTER VISION; EXTRACTION; FEATURE EXTRACTION; REMOTE SENSING; SEMANTICS;

EID: 84939979079     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2015.01.016     Document Type: Article
Times cited : (594)

References (99)
  • 1
    • 0032201716 scopus 로고    scopus 로고
    • An optimal algorithm for approximate nearest neighbor searching in fixed dimensions
    • Arya S., Mount D.M., Netanyahu N.S., Silverman R., Wu A.Y. An optimal algorithm for approximate nearest neighbor searching in fixed dimensions. J. ACM 1998, 45(6):891-923.
    • (1998) J. ACM , vol.45 , Issue.6 , pp. 891-923
    • Arya, S.1    Mount, D.M.2    Netanyahu, N.S.3    Silverman, R.4    Wu, A.Y.5
  • 4
    • 84355162174 scopus 로고    scopus 로고
    • Extracting roads from dense point clouds in large scale urban environment
    • Boyko A., Funkhouser T. Extracting roads from dense point clouds in large scale urban environment. ISPRS J. Photogr. Remote Sens. 2011, 66(6):S02-S12.
    • (2011) ISPRS J. Photogr. Remote Sens. , vol.66 , Issue.6 , pp. S02-S12
    • Boyko, A.1    Funkhouser, T.2
  • 5
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman L. Bagging predictors. Machine Learn. 1996, 24(2):123-140.
    • (1996) Machine Learn. , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 6
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L. Random forests. Machine Learn. 2001, 45(1):5-32.
    • (2001) Machine Learn. , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 8
    • 84857315359 scopus 로고    scopus 로고
    • 3d terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology
    • Brodu N., Lague D. 3d terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology. ISPRS J. Photogr. Remote Sens. 2012, 68:121-134.
    • (2012) ISPRS J. Photogr. Remote Sens. , vol.68 , pp. 121-134
    • Brodu, N.1    Lague, D.2
  • 10
    • 79955702502 scopus 로고    scopus 로고
    • LIBSVM: a library for support vector machines
    • Chang C.C., Lin C.J. LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2011, 2(3):27:1-27:27.
    • (2011) ACM Trans. Intell. Syst. Technol. , vol.2 , Issue.3 , pp. 27.1-27.27
    • Chang, C.C.1    Lin, C.J.2
  • 12
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes C., Vapnik V. Support-vector networks. Machine Learn. 1995, 20(3):273-297.
    • (1995) Machine Learn. , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 13
    • 84926662675 scopus 로고
    • Nearest neighbor pattern classification
    • Cover T., Hart P. Nearest neighbor pattern classification. IEEE Trans. Inform. Theory 1967, 13(1):21-27.
    • (1967) IEEE Trans. Inform. Theory , vol.13 , Issue.1 , pp. 21-27
    • Cover, T.1    Hart, P.2
  • 17
    • 0002344794 scopus 로고
    • Bootstrap methods: another look at the jackknife
    • Efron B. Bootstrap methods: another look at the jackknife. Ann. Stat. 1979, 7(1):1-26.
    • (1979) Ann. Stat. , vol.7 , Issue.1 , pp. 1-26
    • Efron, B.1
  • 18
    • 0002593344 scopus 로고
    • Multi-interval discretization of continuous-valued attributes for classification learning
    • Morgan Kaufman, Chambéry, France, 28 August - 3 September
    • Fayyad U.M., Irani K.B. Multi-interval discretization of continuous-valued attributes for classification learning. Proceedings of the International Joint Conference on Artificial Intelligence 1993, 1022-1027. Morgan Kaufman, Chambéry, France, 28 August - 3 September.
    • (1993) Proceedings of the International Joint Conference on Artificial Intelligence , pp. 1022-1027
    • Fayyad, U.M.1    Irani, K.B.2
  • 19
    • 27444443641 scopus 로고    scopus 로고
    • Neighborhood systems for airborne laser data
    • Filin S., Pfeifer N. Neighborhood systems for airborne laser data. Photogr. Eng. Remote Sens. 2005, 71(6):743-755.
    • (2005) Photogr. Eng. Remote Sens. , vol.71 , Issue.6 , pp. 743-755
    • Filin, S.1    Pfeifer, N.2
  • 20
    • 0000764772 scopus 로고
    • The use of multiple measurements in taxonomic problems
    • Fisher R.A. The use of multiple measurements in taxonomic problems. Ann. Eugen. 1936, 7(2):179-188.
    • (1936) Ann. Eugen. , vol.7 , Issue.2 , pp. 179-188
    • Fisher, R.A.1
  • 21
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund Y., Schapire R.E. A decision-theoretic generalization of on-line learning and an application to boosting. J. Comput. Syst. Sci. 1997, 55(1):119-139.
    • (1997) J. Comput. Syst. Sci. , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 22
    • 84945709355 scopus 로고
    • An algorithm for finding best matches in logarithmic expected time
    • Friedman J.H., Bentley J.L., Finkel R.A. An algorithm for finding best matches in logarithmic expected time. ACM Trans. Math. Softw. 1977, 3(3):209-226.
    • (1977) ACM Trans. Math. Softw. , vol.3 , Issue.3 , pp. 209-226
    • Friedman, J.H.1    Bentley, J.L.2    Finkel, R.A.3
  • 27
    • 84897983621 scopus 로고    scopus 로고
    • Classification of airborne laser scanning data using JointBoost
    • Guo B., Huang X., Zhang F., Sohn G. Classification of airborne laser scanning data using JointBoost. ISPRS J. Photogr. Remote Sens. 2014, 92:124-136.
    • (2014) ISPRS J. Photogr. Remote Sens. , vol.92 , pp. 124-136
    • Guo, B.1    Huang, X.2    Zhang, F.3    Sohn, G.4
  • 28
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Guyon I., Elisseeff A. An introduction to variable and feature selection. J. Machine Learn. Res. 2003, 3:1157-1182.
    • (2003) J. Machine Learn. Res. , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 29
    • 0004060921 scopus 로고    scopus 로고
    • Correlation-based feature subset selection for machine learning
    • Ph.D. thesis, Department of Computer Science, University of Waikato, New Zealand.
    • Hall, M.A., 1999. Correlation-based feature subset selection for machine learning. Ph.D. thesis, Department of Computer Science, University of Waikato, New Zealand.
    • (1999)
    • Hall, M.A.1
  • 33
    • 0032685832 scopus 로고    scopus 로고
    • Using spin images for efficient object recognition in cluttered 3d scenes
    • Johnson A.E., Hebert M. Using spin images for efficient object recognition in cluttered 3d scenes. IEEE Trans. Pattern Anal. Machine Intell. 1999, 21(5):433-449.
    • (1999) IEEE Trans. Pattern Anal. Machine Intell. , vol.21 , Issue.5 , pp. 433-449
    • Johnson, A.E.1    Hebert, M.2
  • 35
    • 84879892403 scopus 로고    scopus 로고
    • Role of dimensionality reduction in segment-based classification of damaged building roofs in airborne laser scanning data
    • Rio de Janeiro, Brazil, 7-9 May
    • Khoshelham, K., Oude Elberink, S.J., 2012. Role of dimensionality reduction in segment-based classification of damaged building roofs in airborne laser scanning data. In: Proceedings of the International Conference on Geographic Object Based Image Analysis, Rio de Janeiro, Brazil, 7-9 May, pp. 372-377.
    • (2012) Proceedings of the International Conference on Geographic Object Based Image Analysis , pp. 372-377
    • Khoshelham, K.1    Oude Elberink, S.J.2
  • 36
    • 80053904553 scopus 로고    scopus 로고
    • Urban scene understanding from aerial and ground lidar data
    • Kim E., Medioni G. Urban scene understanding from aerial and ground lidar data. Machine Vis. Appl. 2011, 22(4):691-703.
    • (2011) Machine Vis. Appl. , vol.22 , Issue.4 , pp. 691-703
    • Kim, E.1    Medioni, G.2
  • 39
    • 84992726552 scopus 로고
    • Estimating attributes: analysis and extensions of RELIEF
    • Springer, Catania, Italy, 6-8 April
    • Kononenko I. Estimating attributes: analysis and extensions of RELIEF. Proceedings of the European Conference on Machine Learning 1994, 171-182. Springer, Catania, Italy, 6-8 April.
    • (1994) Proceedings of the European Conference on Machine Learning , pp. 171-182
    • Kononenko, I.1
  • 40
    • 84860499329 scopus 로고    scopus 로고
    • Creating large-scale city models from 3d-point clouds: a robust approach with hybrid representation
    • Lafarge F., Mallet C. Creating large-scale city models from 3d-point clouds: a robust approach with hybrid representation. Int. J. Comput. Vis. 2012, 99(1):69-85.
    • (2012) Int. J. Comput. Vis. , vol.99 , Issue.1 , pp. 69-85
    • Lafarge, F.1    Mallet, C.2
  • 44
    • 69849085973 scopus 로고    scopus 로고
    • 3d terrestrial lidar classifications with super-voxels and multi-scale conditional random fields
    • Lim E.H., Suter D. 3d terrestrial lidar classifications with super-voxels and multi-scale conditional random fields. Comput.-Aid. Des. 2009, 41(10):701-710.
    • (2009) Comput.-Aid. Des. , vol.41 , Issue.10 , pp. 701-710
    • Lim, E.H.1    Suter, D.2
  • 45
    • 5444259771 scopus 로고    scopus 로고
    • Local versus global triangulations
    • Manchester, UK, 5-7 September
    • Linsen, L., Prautzsch, H., 2001. Local versus global triangulations. In: Proceedings of Eurographics, Manchester, UK, 5-7 September, pp. 257-263.
    • (2001) Proceedings of Eurographics , pp. 257-263
    • Linsen, L.1    Prautzsch, H.2
  • 48
    • 84355166634 scopus 로고    scopus 로고
    • Relevance assessment of full-waveform lidar data for urban area classification
    • Mallet C., Bretar F., Roux M., Soergel U., Heipke C. Relevance assessment of full-waveform lidar data for urban area classification. ISPRS J. Photogr. Remote Sens. 2011, 66(6):S71-S84.
    • (2011) ISPRS J. Photogr. Remote Sens. , vol.66 , Issue.6 , pp. S71-S84
    • Mallet, C.1    Bretar, F.2    Roux, M.3    Soergel, U.4    Heipke, C.5
  • 55
    • 84889654522 scopus 로고    scopus 로고
    • Contextual classification of lidar data and building object detection in urban areas
    • Niemeyer J., Rottensteiner F., Soergel U. Contextual classification of lidar data and building object detection in urban areas. ISPRS J. Photogr. Remote Sens. 2014, 87:152-165.
    • (2014) ISPRS J. Photogr. Remote Sens. , vol.87 , pp. 152-165
    • Niemeyer, J.1    Rottensteiner, F.2    Soergel, U.3
  • 59
    • 0141504430 scopus 로고    scopus 로고
    • Multi-scale feature extraction on point-sampled surfaces
    • Pauly M., Keiser R., Gross M. Multi-scale feature extraction on point-sampled surfaces. Comput. Graph. Forum 2003, 22(3):281-289.
    • (2003) Comput. Graph. Forum , vol.22 , Issue.3 , pp. 281-289
    • Pauly, M.1    Keiser, R.2    Gross, M.3
  • 60
    • 0000629279 scopus 로고
    • Mathematical contributions to the theory of evolution. III. Regression, heredity and panmixia
    • Pearson K. Mathematical contributions to the theory of evolution. III. Regression, heredity and panmixia. Philos. Trans. Roy. Soc. Lond. A 1896, 187:253-318.
    • (1896) Philos. Trans. Roy. Soc. Lond. A , vol.187 , pp. 253-318
    • Pearson, K.1
  • 61
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
    • Peng H., Long F., Ding C. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans. Pattern Anal. Machine Intell. 2005, 27(8):1226-1238.
    • (2005) IEEE Trans. Pattern Anal. Machine Intell. , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 64
    • 84355162992 scopus 로고    scopus 로고
    • Recognizing basic structures from mobile laser scanning data for road inventory studies
    • Pu S., Rutzinger M., Vosselman G., Oude Elberink S. Recognizing basic structures from mobile laser scanning data for road inventory studies. ISPRS J. Photogr. Remote Sens. 2011, 66(6):S28-S39.
    • (2011) ISPRS J. Photogr. Remote Sens. , vol.66 , Issue.6 , pp. S28-S39
    • Pu, S.1    Rutzinger, M.2    Vosselman, G.3    Oude Elberink, S.4
  • 65
    • 33744584654 scopus 로고
    • Induction of decision trees
    • Quinlan J.R. Induction of decision trees. Machine Learn. 1986, 1(1):81-106.
    • (1986) Machine Learn. , vol.1 , Issue.1 , pp. 81-106
    • Quinlan, J.R.1
  • 66
    • 84943274699 scopus 로고
    • A direct adaptive method for faster backpropagation learning: the RPROP algorithm
    • San Francisco, USA, 28 March-1 April
    • Riedmiller, M., Braun, H., 1993. A direct adaptive method for faster backpropagation learning: the RPROP algorithm. In: Proceedings of the IEEE International Conference on Neural Networks, San Francisco, USA, 28 March-1 April, pp. 586-591.
    • (1993) Proceedings of the IEEE International Conference on Neural Networks , pp. 586-591
    • Riedmiller, M.1    Braun, H.2
  • 67
    • 0022471098 scopus 로고
    • Learning representations by back-propagating errors
    • Rumelhart D.E., Hinton G.E., Williams R.J. Learning representations by back-propagating errors. Nature 1986, 323:533-536.
    • (1986) Nature , vol.323 , pp. 533-536
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 70
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • Saeys Y., Inza I., Larrañaga P. A review of feature selection techniques in bioinformatics. Bioinformatics 2007, 23(19):2507-2517.
    • (2007) Bioinformatics , vol.23 , Issue.19 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larrañaga, P.3
  • 71
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • Schapire R.E. The strength of weak learnability. Machine Learn. 1990, 5(2):197-227.
    • (1990) Machine Learn. , vol.5 , Issue.2 , pp. 197-227
    • Schapire, R.E.1
  • 72
    • 84869491579 scopus 로고    scopus 로고
    • An overview and comparison of smooth labeling methods for land-cover classification
    • Schindler K. An overview and comparison of smooth labeling methods for land-cover classification. IEEE Trans. Geosci. Remote Sens. 2012, 50(11):4534-4545.
    • (2012) IEEE Trans. Geosci. Remote Sens. , vol.50 , Issue.11 , pp. 4534-4545
    • Schindler, K.1
  • 74
    • 34247376505 scopus 로고    scopus 로고
    • Tree detection in urban regions using aerial lidar and image data
    • Secord J., Zakhor A. Tree detection in urban regions using aerial lidar and image data. IEEE Geosci. Remote Sens. Lett. 2007, 4(2):196-200.
    • (2007) IEEE Geosci. Remote Sens. Lett. , vol.4 , Issue.2 , pp. 196-200
    • Secord, J.1    Zakhor, A.2
  • 75
    • 84881240825 scopus 로고    scopus 로고
    • Urban accessibility diagnosis from mobile laser scanning data
    • Serna A., Marcotegui B. Urban accessibility diagnosis from mobile laser scanning data. ISPRS J. Photogr. Remote Sens. 2013, 84:23-32.
    • (2013) ISPRS J. Photogr. Remote Sens. , vol.84 , pp. 23-32
    • Serna, A.1    Marcotegui, B.2
  • 76
    • 84902327579 scopus 로고    scopus 로고
    • Detection, segmentation and classification of 3d urban objects using mathematical morphology and supervised learning
    • Serna A., Marcotegui B. Detection, segmentation and classification of 3d urban objects using mathematical morphology and supervised learning. ISPRS J. Photogr. Remote Sens. 2014, 93:243-255.
    • (2014) ISPRS J. Photogr. Remote Sens. , vol.93 , pp. 243-255
    • Serna, A.1    Marcotegui, B.2
  • 78
    • 84940644968 scopus 로고
    • A mathematical theory of communication
    • Shannon C.E. A mathematical theory of communication. Bell Syst. Tech. J. 1948, 27(3):379-423.
    • (1948) Bell Syst. Tech. J. , vol.27 , Issue.3 , pp. 379-423
    • Shannon, C.E.1
  • 84
    • 84865356788 scopus 로고    scopus 로고
    • Automatic extraction of manhattan-world building masses from 3d laser range scans
    • Vanegas C.A., Aliaga D.G., Benes B. Automatic extraction of manhattan-world building masses from 3d laser range scans. IEEE Trans. Visual. Comput. Graph. 2012, 18(10):1627-1637.
    • (2012) IEEE Trans. Visual. Comput. Graph. , vol.18 , Issue.10 , pp. 1627-1637
    • Vanegas, C.A.1    Aliaga, D.G.2    Benes, B.3
  • 90
    • 84938196422 scopus 로고    scopus 로고
    • Distinctive 2d and 3d features for automated large-scale scene analysis in urban areas
    • Weinmann M., Urban S., Hinz S., Jutzi B., Mallet C. Distinctive 2d and 3d features for automated large-scale scene analysis in urban areas. Comput. Graph. 2015, XXX. XXX-XXX.
    • (2015) Comput. Graph. , vol.30 , pp. 30
    • Weinmann, M.1    Urban, S.2    Hinz, S.3    Jutzi, B.4    Mallet, C.5
  • 94
    • 84890816027 scopus 로고    scopus 로고
    • Multiple-entity based classification of airborne laser scanning data in urban areas
    • Xu S., Vosselman G., Oude Elberink S. Multiple-entity based classification of airborne laser scanning data in urban areas. ISPRS J. Photogr. Remote Sens. 2014, 88:1-15.
    • (2014) ISPRS J. Photogr. Remote Sens. , vol.88 , pp. 1-15
    • Xu, S.1    Vosselman, G.2    Oude Elberink, S.3
  • 95
    • 1942451938 scopus 로고    scopus 로고
    • Feature selection for high-dimensional data: a fast correlation-based filter solution
    • AAAI Press, Washington, USA, 21-24 August
    • Yu L., Liu H. Feature selection for high-dimensional data: a fast correlation-based filter solution. Proceedings of the International Conference on Machine Learning 2003, 856-863. AAAI Press, Washington, USA, 21-24 August.
    • (2003) Proceedings of the International Conference on Machine Learning , pp. 856-863
    • Yu, L.1    Liu, H.2
  • 96
    • 84874654703 scopus 로고    scopus 로고
    • A performance evaluation of volumetric 3d interest point detectors
    • Yu T.H., Woodford O.J., Cipolla R. A performance evaluation of volumetric 3d interest point detectors. Int. J. Comput. Vis. 2013, 102(1-3):180-197.
    • (2013) Int. J. Comput. Vis. , vol.102 , Issue.1-3 , pp. 180-197
    • Yu, T.H.1    Woodford, O.J.2    Cipolla, R.3
  • 97
    • 79957625130 scopus 로고    scopus 로고
    • Advancing feature selection research - ASU feature selection repository
    • Technical Report, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, USA.
    • Zhao, Z., Morstatter, F., Sharma, S., Alelyani, S., Anand, A., Liu, H., 2010. Advancing feature selection research - ASU feature selection repository. Technical Report, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, USA.
    • (2010)
    • Zhao, Z.1    Morstatter, F.2    Sharma, S.3    Alelyani, S.4    Anand, A.5    Liu, H.6
  • 98
    • 84888414464 scopus 로고    scopus 로고
    • Complete residential urban area reconstruction from dense aerial lidar point clouds
    • Zhou Q.Y., Neumann U. Complete residential urban area reconstruction from dense aerial lidar point clouds. Graph. Models 2013, 75(3):118-125.
    • (2013) Graph. Models , vol.75 , Issue.3 , pp. 118-125
    • Zhou, Q.Y.1    Neumann, U.2
  • 99
    • 84864504859 scopus 로고    scopus 로고
    • Mapping curbstones in airborne and mobile laser scanning data
    • Zhou L., Vosselman G. Mapping curbstones in airborne and mobile laser scanning data. Int. J. Appl. Earth Observ. Geoinform. 2012, 18(1):293-304.
    • (2012) Int. J. Appl. Earth Observ. Geoinform. , vol.18 , Issue.1 , pp. 293-304
    • Zhou, L.1    Vosselman, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.