메뉴 건너뛰기




Volumn 10, Issue 5, 2013, Pages 1258-1262

Segment-based classification of damaged building roofs in aerial laser scanning data

Author keywords

Disaster management; feature selection; Lidar; random forest; segmentation; support vector machines (SVM); training

Indexed keywords

CLASSIFICATION ACCURACY; DISASTER MANAGEMENT; LASER SCANNING DATA; LINEAR DISCRIMINANT CLASSIFIER; NATURAL DISASTERS; RANDOM FORESTS; SEGMENT-BASED CLASSIFICATION; SUPERVISED CLASSIFICATION;

EID: 84879976331     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2013.2257676     Document Type: Article
Times cited : (54)

References (23)
  • 1
    • 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
    • K. Khoshelham and S. Oude Elberink, "Role of dimensionality reduction in segment-based classification of damaged building roofs in airborne laser scanning data," in Proc. 4th GEOBIA, Rio de Janeiro, Brazil, 2012, pp. 372-377.
    • (2012) Proc. 4th GEOBIA , pp. 372-377
    • Khoshelham, K.1    Oude Elberink, S.2
  • 2
    • 8744232115 scopus 로고    scopus 로고
    • Detection of collapsed buildings caused by the 1999 Izmit, Turkey earthquake through digital analysis of post-event aerial photographs
    • DOI 10.1080/01431160410001709976
    • M. Turker and B. T. San, "Detection of collapsed buildings caused by the 1999 Izmit Turkey earthquake through digital analysis of post-event aerial photographs," Int. J. Remote Sens., vol. 25, no. 21, pp. 4701-4714, Nov. 2004. (Pubitemid 39520539)
    • (2004) International Journal of Remote Sensing , vol.25 , Issue.21 , pp. 4701-4714
    • Turker, M.1    San, B.T.2
  • 3
    • 80052781213 scopus 로고    scopus 로고
    • Automatic structural seismic samage assessment with airborne oblique pictometry imagery
    • M. Gerke and N. Kerle, "Automatic structural seismic samage assessment with airborne oblique pictometry imagery," Photogramm. Eng. and Remote Sens., vol. 77, no. 9, pp. 885-898, 2011.
    • (2011) Photogramm. Eng. and Remote Sens. , vol.77 , Issue.9 , pp. 885-898
    • Gerke, M.1    Kerle, N.2
  • 4
    • 31344432653 scopus 로고    scopus 로고
    • A split-and-merge technique for automated reconstruction of roof planes
    • K. Khoshelham, Z. L. Li, and B. King, "A split-and-merge technique for automated reconstruction of roof planes," Photogramm. Eng. Remote Sens., vol. 71, no. 7, pp. 855-862, 2005. (Pubitemid 43142231)
    • (2005) Photogrammetric Engineering and Remote Sensing , vol.71 , Issue.7 , pp. 855-862
    • Khosheiham, K.1    Li, Z.2    King, B.3
  • 5
    • 72949110177 scopus 로고    scopus 로고
    • Performance evaluation of automated approaches to building detection in multi-source aerial data
    • Jan.
    • K. Khoshelham, C. Nardinocchi, E. Frontoni, A. Mancini, and P. Zingaretti, "Performance evaluation of automated approaches to building detection in multi-source aerial data," ISPRS J. Photogramm. Remote Sens., vol. 65, no. 1, pp. 123-133, Jan. 2010.
    • (2010) ISPRS J. Photogramm. Remote Sens. , vol.65 , Issue.1 , pp. 123-133
    • Khoshelham, K.1    Nardinocchi, C.2    Frontoni, E.3    Mancini, A.4    Zingaretti, P.5
  • 6
    • 77957997194 scopus 로고    scopus 로고
    • Assessment of relative accuracy of AHN-2 laser scanning data using planar features
    • Sep.
    • C. van der Sande, S. Soudarissanane, and K. Khoshelham, "Assessment of relative accuracy of AHN-2 laser scanning data using planar features," Sensors, vol. 10, no. 9, pp. 8198-8214, Sep. 2010.
    • (2010) Sensors , vol.10 , Issue.9 , pp. 8198-8214
    • Sande Der C.Van1    Soudarissanane, S.2    Khoshelham, K.3
  • 8
    • 57049105897 scopus 로고    scopus 로고
    • Contribution of two plane detection algorithms to recognition of intact and damaged buildings in lidar data
    • Dec
    • M. Rehor, H.-P. Bähr, F. Tarsha-Kurdi, T. Landes, and P. Grussenmeyer, "Contribution of two plane detection algorithms to recognition of intact and damaged buildings in lidar data," Photogramm. Rec., vol. 23, no. 124, pp. 441-456, Dec. 2008.
    • (2008) Photogramm. Rec. , vol.23 , Issue.124 , pp. 441-456
    • Rehor, M.1    Bähr, H.-P.2    Tarsha-Kurdi, F.3    Landes, T.4    Grussenmeyer, P.5
  • 9
    • 77958043717 scopus 로고    scopus 로고
    • Identification of inclined buildings from aerial LIDAR data for disaster management
    • Beijing, China
    • Y. Shen, L. Wu, and Z. Wang, "Identification of inclined buildings from aerial LIDAR data for disaster management," in Proc. 18th Int. Conf. Geoinf., Beijing, China, 2010, pp. 1-5.
    • (2010) Proc. 18th Int. Conf. Geoinf. , pp. 1-5
    • Shen, Y.1    Wu, L.2    Wang, Z.3
  • 11
    • 85044538721 scopus 로고    scopus 로고
    • Detection and recognition of changes in building geometry derived from multitemporal lasers canning data
    • Istanbul, Turkey
    • T. Vögtle and E. Steinle, "Detection and recognition of changes in building geometry derived from multitemporal lasers canning data," in Proc. Int. Archives Photogramm., Remote Sens., Spatial Inf. Sci., Istanbul, Turkey, 2004, vol. XXXV, pp. 428-433, Part B2.
    • (2004) Proc. Int. Archives Photogramm., Remote Sens., Spatial Inf. Sci. , vol.35 , Issue.PART B2 , pp. 428-433
    • Vögtle, T.1    Steinle, E.2
  • 12
    • 33747610735 scopus 로고    scopus 로고
    • Training set size requirements for the classification of a specific class
    • DOI 10.1016/j.rse.2006.03.004, PII S0034425706001234
    • G. M. Foody, A. Mathur, C. Sanchez-Hernandez, and D. S. Boyd, "Training set size requirements for the classification of a specific class," Remote Sens. Environ., vol. 104, no. 1, pp. 1-14, Sep. 2006. (Pubitemid 44262339)
    • (2006) Remote Sensing of Environment , vol.104 , Issue.1 , pp. 1-14
    • Foody, G.M.1    Mathur, A.2    Sanchez-Hernandez, C.3    Boyd, D.S.4
  • 13
    • 0033372875 scopus 로고    scopus 로고
    • The significance of border training patterns in classification by a feedforward neural network using back propagation learning
    • G. M. Foody, "The significance of border training patterns in classification by a feedforward neural network using back propagation learning," Int. J. Remote Sens., vol. 20, no. 18, pp. 3549-3562, 1999. (Pubitemid 30037566)
    • (1999) International Journal of Remote Sensing , vol.20 , Issue.18 , pp. 3549-3562
    • Foody, G.M.1
  • 14
    • 84869488312 scopus 로고    scopus 로고
    • Evaluation of SVM, RVM and SMLR for accurate image classification with limited ground data
    • Oct.
    • M. Pal and G. M. Foody, "Evaluation of SVM, RVM and SMLR for accurate image classification with limited ground data," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 5, pp. 1344-1355, Oct. 2012.
    • (2012) IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , vol.5 , Issue.5 , pp. 1344-1355
    • Pal, M.1    Foody, G.M.2
  • 15
    • 77951295936 scopus 로고    scopus 로고
    • Feature selection for classification of hyperspectral data by SVM
    • May
    • M. Pal and G. M. Foody, "Feature selection for classification of hyperspectral data by SVM," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 5, pp. 2297-2307, May 2010.
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , Issue.5 , pp. 2297-2307
    • Pal, M.1    Foody, G.M.2
  • 16
    • 78650741470 scopus 로고    scopus 로고
    • Airborne lidar feature selection for urban classification using random forests
    • Pairs, France
    • N. Chehata, L. Guo, and M. Mallet, "Airborne lidar feature selection for urban classification using random forests," in Proc. Int. Archives Photogramm., Remote Sens., Spatial Inf. Sci., Pairs, France, 2009, vol. XXXVIII, pp. 207-212, Part 3/W8.
    • (2009) Proc. Int. Archives Photogramm., Remote Sens., Spatial Inf. Sci. , vol.38 , Issue.PART 3 W8 , pp. 207-212
    • Chehata, N.1    Guo, L.2    Mallet, M.3
  • 17
    • 84355166634 scopus 로고    scopus 로고
    • Relevance assessment of full-waveform lidar data for urban area classification
    • Dec.
    • C. Mallet, F. Bretar, M. Roux, U. Soergel, and C. Heipke, "Relevance assessment of full-waveform lidar data for urban area classification," ISPRS J. Photogramm. Remote Sens., vol. 66, no. 6, pp. S71-S84, Dec. 2011.
    • (2011) ISPRS J. Photogramm. Remote Sens. , vol.66 , Issue.6
    • Mallet, C.1    Bretar, F.2    Roux, M.3    Soergel, U.4    Heipke, C.5
  • 18
    • 84964082584 scopus 로고    scopus 로고
    • Entities and features for classification of airbourne laser scanning data in urban area
    • Melbourne, Australia
    • S. Xu, S. Oude Elberink, and G. Vosselman, "Entities and features for classification of airbourne laser scanning data in urban area," in Proc. ISPRS Ann. Photogramm., Remote Sens., Spatial Inf. Sci., Melbourne, Australia, 2012, vol. I-4, pp. 267-262.
    • (2012) Proc. ISPRS Ann. Photogramm., Remote Sens., Spatial Inf. Sci. , vol.1-4 , pp. 267-262
    • Xu, S.1    Oude Elberink, S.2    Vosselman, G.3
  • 20
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C. J. C. Burges, "A tutorial on support vector machines for pattern recognition," Data Mining Knowl. Discov., vol. 2, no. 2, pp. 121-167, Jun. 1998. (Pubitemid 128695475)
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 21
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • DOI 10.1023/A:1010933404324
    • L. Breiman, "Random forests," Mach. Learn., vol. 45, no. 1, pp. 5-32, Oct. 2001. (Pubitemid 32933532)
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 22
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • PII S000437029700043X
    • R. Kohavi and G. H. John, "Wrappers for feature subset selection," Artif. Intell., vol. 97, no. 1/2, pp. 273-324, Dec. 1997. (Pubitemid 127401107)
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 23
    • 84890445089 scopus 로고    scopus 로고
    • Overfitting in making comparisons between variable selection methods
    • Mar
    • J. Reunanen, "Overfitting in making comparisons between variable selection methods," J. Mach. Learn. Res., vol. 3, no. 2003, pp. 1371-1382, Mar. 2003. Bank
    • (2003) J. Mach. Learn. Res. , vol.3 , Issue.2003 , pp. 1371-1382
    • Reunanen, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.