{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T14:29:34Z","timestamp":1776522574023,"version":"3.51.2"},"reference-count":76,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2016,2,26]],"date-time":"2016-02-26T00:00:00Z","timestamp":1456444800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The National High Resolution Earth Observation System of China (the Civil Part)"},{"name":"The Technology Projects of China and the National Natural Science Foundation of China","award":["41171311"],"award-info":[{"award-number":["41171311"]}]},{"name":"The Technology Projects of China and the National Natural Science Foundation of China","award":["41471320"],"award-info":[{"award-number":["41471320"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The rapid and accurate assessment of building damage states using only post-event remote sensing data is critical when performing loss estimation in earthquake emergency response. Damaged roof detection is one of the most efficient methods of assessing building damage. In particular, airborne LiDAR is often used to detect roofs damaged by earthquakes, especially for certain damage types, due to its ability to rapidly acquire accurate 3D information on individual roofs. Earthquake-induced roof damages are categorized into surface damages and structural damages based on the geometry features of the debris and the roof structure. However, recent studies have mainly focused on surface damage; little research has been conducted on structural damage. This paper presents an original 3D shape descriptor of individual roofs for detecting roofs with surface damage and roofs exhibiting structural damage by identifying spatial patterns of compact and regular contours for intact roofs, as well as jagged and irregular contours for damaged roofs. The 3D shape descriptor is extracted from building contours derived from airborne LiDAR point clouds. First, contour clusters are extracted from contours that are generated from a dense DSM of individual buildings derived from point clouds. Second, the shape chaos indexes of contour clusters are computed as the information entropy through a contour shape similarity measurement between two contours in a contour cluster. Finally, the 3D shape descriptor is calculated as the weighted sum of the shape chaos index of each contour cluster corresponding to an individual roof. Damaged roofs are detected solely using the 3D shape descriptor with the maximum entropy threshold. Experiments using post-event airborne LiDAR point clouds of the 2010 Haiti earthquake suggest that the proposed damaged roof detection technique using the proposed 3D shape descriptor can detect both roofs exhibiting surface damage and roofs exhibiting structural damage with a high accuracy.<\/jats:p>","DOI":"10.3390\/rs8030189","type":"journal-article","created":{"date-parts":[[2016,2,26]],"date-time":"2016-02-26T10:23:39Z","timestamp":1456482219000},"page":"189","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":50,"title":["A 3D Shape Descriptor Based on Contour Clusters for Damaged Roof Detection Using Airborne LiDAR Point Clouds"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4356-5074","authenticated-orcid":false,"given":"Meizhang","family":"He","sequence":"first","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"},{"name":"Collaborative Innovation Center for Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qing","family":"Zhu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"},{"name":"Collaborative Innovation Center for Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China"},{"name":"State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu 611756, China"},{"name":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8314-4354","authenticated-orcid":false,"given":"Zhiqiang","family":"Du","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China"},{"name":"Collaborative Innovation Center for Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Han","family":"Hu","sequence":"additional","affiliation":[{"name":"Collaborative Innovation Center for Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China"},{"name":"State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu 611756, China"},{"name":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yulin","family":"Ding","sequence":"additional","affiliation":[{"name":"Collaborative Innovation Center for Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China"},{"name":"State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu 611756, China"},{"name":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Chen","sequence":"additional","affiliation":[{"name":"Collaborative Innovation Center for Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China"},{"name":"State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety, Southwest Jiaotong University, Chengdu 611756, China"},{"name":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2016,2,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1023\/A:1024724524972","article-title":"Building damage and casualties after an earthquake","volume":"29","author":"Lu","year":"2003","journal-title":"Nat. Hazards"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"S179","DOI":"10.1193\/1.3636416","article-title":"Crowdsourcing for rapid damage assessment: The Global Earth Observation Catastrophe Assessment Network (Geo-Can)","volume":"27","author":"Ghosh","year":"2011","journal-title":"Earthq. Spectra"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.soildyn.2010.03.009","article-title":"Rapid earthquake loss assessment after damaging earthquakes","volume":"31","author":"Erdik","year":"2011","journal-title":"Soil Dyn. Earthq. Eng."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.5194\/nhess-15-1087-2015","article-title":"UVA-based urban structural damage assessment using object-based image analysis and semantic reasoning","volume":"15","author":"Kerle","year":"2015","journal-title":"Nat. Hazard. Earth Syst."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1080\/17538940902767401","article-title":"Identifying damage caused by the 2008 Wenchuan earthquake from VHR remote sensing data","volume":"2","author":"Ehrlich","year":"2009","journal-title":"Int. J. Digit. Earth"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"997","DOI":"10.14358\/PERS.77.10.0997","article-title":"A comprehensive analysis of building damage in the 12 January 2010 Mw7 Haiti earthquake using high-resolution satellite and aerial imagery","volume":"77","author":"Corbane","year":"2011","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1080\/01431161.2011.582188","article-title":"A framework for automated assessment of post-earthquake building damage using geospatial data","volume":"33","author":"Dong","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"3073","DOI":"10.1080\/01431160701442096","article-title":"Building-based damage detection due to earthquake using the watershed segmentation of the post-event aerial images","volume":"29","author":"Turker","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1193\/1.1774182","article-title":"Use of satellite SAR intensity imagery for detecting building areas damaged due to earthquakes","volume":"20","author":"Matsuoka","year":"2004","journal-title":"Earthq. Spectra"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1193\/1.2101127","article-title":"Detection and animation of damage using very high-resolution satellite data following the 2003 Bam, Iran, earthquake","volume":"21","author":"Vu","year":"2005","journal-title":"Earthq. Spectra"},{"key":"ref_11","unstructured":"Rathje, E.M., Kyu-Seok, W., Crawford, M., and Neuenschwander, A. (2005, January 25\u201329). Earthquake damage identification using multi-temporal high-resolution optical satellite imagery. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Seoul, Korea."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.1080\/01431160600928567","article-title":"Mapping damage during the Bam (Iran) earthquake using interferometric coherence","volume":"28","author":"Hoffmann","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"3891","DOI":"10.1080\/01431160701871112","article-title":"Uplift and subsidence due to the 26 December 2004 Indonesian earthquake detected by SAR data","volume":"29","author":"Chini","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"3303","DOI":"10.1007\/s11434-009-0461-3","article-title":"An improved automatic detection method for earthquake-collapsed buildings from ADS40 image","volume":"54","author":"Guo","year":"2009","journal-title":"Chin. Sci. Bull."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"931","DOI":"10.5194\/nhess-11-931-2011","article-title":"Co-seismic surface effects from very high resolution panchromatic images: The case of the 2005 Kashmir (Pakistan) earthquake","volume":"11","author":"Chini","year":"2011","journal-title":"Nat. Hazard. Earth Syst."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1142\/S1793431111001157","article-title":"An improved approach of information extraction for earthquake-damaged buildings using high-resolution imagery","volume":"5","author":"Li","year":"2011","journal-title":"J. Earthq. Tsunami"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Ma, J., and Qin, S. (2012, January 22\u201327). Automatic depicting algorithm of earthquake collapsed buildings with airborne high resolution image. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6351400"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.isprsjprs.2013.06.011","article-title":"A comprehensive review of earthquake-induced building damage detection with remote sensing techniques","volume":"84","author":"Dong","year":"2013","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/S0924-2716(99)00011-8","article-title":"Airborne laser scanning\u2014An introduction and overview","volume":"54","author":"Wehr","year":"1999","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_20","unstructured":"Schweier, C., Markus, M., Steinle, E., and Weidner, U. (2005, January 1\u20134). Casualty scenarios based on laser scanning data. Proceedings of the 250th Anniversary of 1755 Lisbon Earthquake, Lisbon, Portugal."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/S0924-2716(03)00021-2","article-title":"Potential and limits of InSAR data for building reconstruction in built-up areas","volume":"58","author":"Stilla","year":"2003","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"4870","DOI":"10.3390\/rs6064870","article-title":"Rapid damage assessment by means of multi-temporal SAR\u2014A comprehensive review and outlook to Sentinel-1","volume":"6","author":"Plank","year":"2014","journal-title":"Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"2876","DOI":"10.1109\/JPROC.2012.2196404","article-title":"Remote sensing and earthquake damage assessment: Experiences, limits, and perspectives","volume":"100","author":"Gamba","year":"2012","journal-title":"Proc. IEEE"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"14119","DOI":"10.3390\/rs71014119","article-title":"Effective generation and update of a building map database through automatic building change detection from LiDAR point cloud data","volume":"7","author":"Awrangjeb","year":"2015","journal-title":"Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1080\/19475705.2012.670668","article-title":"Optical techniques for multiscale damage assessment","volume":"4","author":"Olsen","year":"2013","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1142\/S1793431107000122","article-title":"Remote sensing technologies in post-disaster damage assessment","volume":"1","author":"Yamazaki","year":"2007","journal-title":"J. Earthq. Tsunami"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Li, L., Zhang, B., and Wu, Y. (2012, January 22\u201327). Fusing spectral and texture information for collapsed buildings detection in airborne image. Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6351606"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.jweia.2012.04.016","article-title":"Use of post-storm images for automated tornado-borne debris path identification using texture-wavelet analysis","volume":"107\u2013108","author":"Radhika","year":"2012","journal-title":"J. Wind Eng. Ind. Aerodyn."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.isprsjprs.2015.03.016","article-title":"Identification of damage in buildings based on gaps in 3D point clouds from very high resolution oblique airborne images","volume":"105","author":"Vetrivel","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_30","first-page":"1599","article-title":"Improvement of building damage detection and classification based on laser scanning data by integrating spectral information","volume":"37","author":"Rehor","year":"2008","journal-title":"Int. Arch. Photogramm. Spat. Inf. Sci."},{"key":"ref_31","unstructured":"Shen, Y., Wu, L., and Wang, Z. (2010, January 18\u201320). Identification of inclined buildings from aerial LiDAR data for disaster management. Proceedings of the 2010 18th International Conference on Geoinformatics, Beijing, China."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Gerke, M., and Kerle, N. (2011, January 6\u201313). Graph matching in 3D space for structural seismic damage assessment. Proceedings of the 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), Barcelona, Spain.","DOI":"10.1109\/ICCVW.2011.6130244"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"885","DOI":"10.14358\/PERS.77.9.885","article-title":"Automatic structural seismic damage assessment with airborne oblique pictometry @ imagery","volume":"77","author":"Gerke","year":"2011","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1007\/s10518-006-9005-2","article-title":"Classification of collapsed buildings for fast damage and loss assessment","volume":"4","author":"Schweier","year":"2006","journal-title":"Bull. Earthq. Eng."},{"key":"ref_35","unstructured":"Schweier, C., and Markus, M. (2004, January 1\u20136). Assessment of the search and rescue demand for individual buildings. Proceedings of the 13th World Conference on Earthquake Engineering, Vancouver, BC, Canada."},{"key":"ref_36","first-page":"54","article-title":"Classification of building damage based on laser scanning data","volume":"20","author":"Rehor","year":"2007","journal-title":"Int. Arch. Photogramm. Spat. Inf. Sci."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.isprsjprs.2009.09.005","article-title":"Performance evaluation of automated approaches to building detection in multi-source aerial data","volume":"65","author":"Khoshelham","year":"2010","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"8198","DOI":"10.3390\/s100908198","article-title":"Assessment of relative accuracy of AHN-2 laser scanning data using planar features","volume":"10","author":"Soudarissanane","year":"2010","journal-title":"Sensors"},{"key":"ref_39","first-page":"33","article-title":"Recognising structure in laser scanner point clouds","volume":"46","author":"Vosselman","year":"2004","journal-title":"Int. Arch. Photogramm. Spat. Inf. Sci."},{"key":"ref_40","first-page":"67","article-title":"Segmentation of damaged buildings from laser scanning data","volume":"36","author":"Rehor","year":"2006","journal-title":"Int. Arch. Photogramm. Spat. Inf. Sci."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1111\/j.1477-9730.2008.00501.x","article-title":"Contribution of two plane detection algorithms to recognition of intact and damaged buildings in LiDAR data","volume":"23","author":"Rehor","year":"2008","journal-title":"Photogramm. Rec."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Labiak, R.C., Van Aardt, J.A., Bespalov, D., Eychner, D., Wirch, E., and Bischof, H.-P. (2011). Automated method for detection and quantification of building damage and debris using post-disaster LiDAR data. SPIE 8037.","DOI":"10.1117\/12.883509"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1258","DOI":"10.1109\/LGRS.2013.2257676","article-title":"Segment-based classification of damaged building roofs in aerial laser scanning data","volume":"10","author":"Khoshelham","year":"2013","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_44","first-page":"307","article-title":"Detection of collapsed buildings by classifying segmented airborne laser scanner data","volume":"38","author":"Shoko","year":"2012","journal-title":"Int. Arch. Photogramm. Spat. Inf. Sci."},{"key":"ref_45","unstructured":"Khoshelham, K., and Oude Elberink, S. (2012, January 7\u20139). Role of dimensionality reduction in segment-based classification of damaged building roofs in airborne laser scanning data. Proceedings of the International Conference on Geographic Object Based Image Analysis, Rio de Janeiro, Brazil."},{"key":"ref_46","first-page":"119","article-title":"Generation of roof topologies using plane fitting with RANSAC","volume":"37","author":"Engels","year":"2008","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/j.isprsjprs.2010.09.009","article-title":"Quality analysis on 3D building models reconstructed from airborne laser scanning data","volume":"66","author":"Vosselman","year":"2011","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Li, Y., Ma, H., and Wu, J. (2011). Planar segmentation and topological reconstruction for urban buildings with LiDAR point clouds. Proc. SPIE, 8286.","DOI":"10.1117\/12.912838"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1016\/j.ijleo.2015.01.011","article-title":"Extraction and reconstruction of curved surface buildings by contour clustering using airborne LiDAR data","volume":"126","author":"Song","year":"2015","journal-title":"Optik"},{"key":"ref_50","first-page":"83","article-title":"Building extraction from LiDAR data based on shape analysis of contours","volume":"44","author":"Ren","year":"2009","journal-title":"J. Southwest"},{"key":"ref_51","unstructured":"Ren, Z. (2009). Building and Road Extraction from Lidar Data Based on Contour Feature Analysis. [Ph.D. Thesis, Southwest Jiaotong University]."},{"key":"ref_52","unstructured":"Zhang, J., Li, L., Lu, Q., and Jiang, W. (2008, January 18). Contour clustering analysis for building reconstruction from LiDAR data. Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, China."},{"key":"ref_53","first-page":"407","article-title":"Contour cluster shape analysis for building damage detection from post-earthquake airborne LiDAR","volume":"44","author":"He","year":"2015","journal-title":"Acta Geod. Cartogr. Sin."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.isprsjprs.2011.10.002","article-title":"Parameter-free ground filtering of LiDAR data for automatic DTM generation","volume":"67","author":"Mongus","year":"2012","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.isprsjprs.2014.02.014","article-title":"An adaptive surface filter for airborne laser scanning point clouds by means of regularization and bending energy","volume":"92","author":"Hu","year":"2014","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1007\/s10707-012-0153-z","article-title":"Multi-level representation of terrain features on a contour map","volume":"17","author":"Guilbert","year":"2013","journal-title":"Geoinformatica"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1002\/j.1538-7305.1948.tb01338.x","article-title":"A mathematical theory of communication","volume":"27","author":"Shannon","year":"1948","journal-title":"Bell Syst. Tech. J."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1049\/ip-vis:20050032","article-title":"Survey and comparative analysis of entropy and relative entropy thresholding techniques","volume":"153","author":"Chang","year":"2006","journal-title":"IEE Proc. Vis. Image Signal Process."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1080\/13658810210149416","article-title":"Quantitative measures for spatial information of maps","volume":"16","author":"Li","year":"2002","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1016\/S0098-3004(00)00009-1","article-title":"Fast algorithm for generating sorted contour strings","volume":"26","author":"Jones","year":"2000","journal-title":"Comput. Geosci."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1007\/s11806-008-0029-4","article-title":"An algorithm for extracting contour lines based on interval tree from grid DEM","volume":"11","author":"Wang","year":"2008","journal-title":"Geospat. Inf. Sci."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1006\/ciun.1994.1011","article-title":"Extracting topographic terrain features from elevation maps","volume":"59","author":"Kweon","year":"1994","journal-title":"CVGIP Image Underst."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1016\/0098-3004(94)00100-9","article-title":"Automated reasoning with contour maps","volume":"21","author":"Cronin","year":"1995","journal-title":"Comput. Geosci."},{"key":"ref_64","unstructured":"Folkers, A., and Samet, H. (2002, January 11\u201315). Content-based image retrieval using Fourier descriptors on a logo database. Proceedings of the 16th International Conference on Pattern Recognition, Quebec, QC, Canada."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.patcog.2003.07.008","article-title":"Review of shape representation and description techniques","volume":"37","author":"Zhang","year":"2004","journal-title":"Pattern Recognit."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1878","DOI":"10.1016\/j.ins.2006.10.008","article-title":"Shape-based image retrieval using support vector machines, Fourier descriptors and self-organizing maps","volume":"177","author":"Wong","year":"2007","journal-title":"Inform. Sci."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1196","DOI":"10.1016\/j.imavis.2008.01.009","article-title":"Automatic object and image alignment using Fourier descriptors","volume":"26","author":"Duan","year":"2008","journal-title":"Image Vis. Comput."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/0165-1684(80)90020-1","article-title":"A new method for grey-level picture thresholding using the entropy of the histogram","volume":"2","author":"Pun","year":"1980","journal-title":"Signal Process."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1016\/0734-189X(85)90125-2","article-title":"A new method for gray-level picture thresholding using the entropy of the histogram","volume":"29","author":"Kapur","year":"1985","journal-title":"Comput. Vis. Graph. Image Process."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.neucom.2012.10.031","article-title":"2-D direction histogram based entropic thresholding","volume":"120","author":"Yimit","year":"2013","journal-title":"Neurocomputing"},{"key":"ref_71","unstructured":"M7.0\u2014Haiti Region, Available online: http:\/\/earthquake.usgs.gov\/earthquakes\/eventpage\/usp000h60h#general_summary."},{"key":"ref_72","unstructured":"World Bank\u2014Imagecat Inc Rit Haiti Earthquake LiDAR Dataset. Available online: http:\/\/opentopo.sdsc.edu.gridsphere\/gridsphere?cid=geonlidarframeportlet&gs_action=lidarDataset&opentopoID=OTLAS.072010.32618.1."},{"key":"ref_73","unstructured":"Haiti Earthquake 2010: Remote Sensing Based Building Damage Assessment Data. Available online: http:\/\/www.unitar.org\/unosat\/haiti-earthquake-2010-remote-sensing-based-building-damage-assessment-data."},{"key":"ref_74","first-page":"26","article-title":"Geo-Can debuts to map Haiti damage","volume":"25","author":"Bevington","year":"2010","journal-title":"Imaging Notes"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"97","DOI":"10.5194\/nhess-13-97-2013","article-title":"Collaborative damage mapping for emergency response: The role of cognitive systems engineering","volume":"13","author":"Kerle","year":"2013","journal-title":"Nat. Hazards Earth Syst."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1111\/j.1467-9671.2007.01033.x","article-title":"Effect of contour intervals and grid cell size on the accuracy of DEMs and slope derivatives","volume":"11","author":"Ziadat","year":"2007","journal-title":"Trans. GIS"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/3\/189\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:19:46Z","timestamp":1760210386000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/3\/189"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,2,26]]},"references-count":76,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2016,3]]}},"alternative-id":["rs8030189"],"URL":"https:\/\/doi.org\/10.3390\/rs8030189","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,2,26]]}}}