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Urban area change visualization and analysis using high density spatial data from time series aerial images


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Agisoft (2017). Photoscan Professional Version 1.3.2.4205.Agisoft2017Photoscan ProfessionalVersion 1.3.2.4205Search in Google Scholar

Ahmadabadian, A. H., Robson, S., Boehm, J., and Shortis, M. (2014). Stereo-imaging network design for preciseand dense 3D reconstruction. The Photogrammetric Record 29(147):317–336,10.1111/phor.12076AhmadabadianA. H.RobsonS.BoehmJ.ShortisM.2014Stereo-imaging network design for preciseand dense 3D reconstructionThe Photogrammetric Record2914731733610.1111/phor.12076Open DOISearch in Google Scholar

Ahmadabadian, A. H., Robson, S., Boehm, J., Shortis, M., Wenzel, K., and Fritsch, D. (2013). A comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigs. ISPRS Journal of Photogrammetry and Remote Sensing 78:157–167,10.1016/j.isprsjprs.2013.01.015AhmadabadianA. H.RobsonS.BoehmJ.ShortisM.WenzelK.FritschD.2013A comparison of dense matching algorithms for scaled surface reconstruction using stereo camera rigsISPRS Journal of Photogrammetry and Remote Sensing7815716710.1016/j.isprsjprs.2013.01.015Open DOISearch in Google Scholar

Aicardi, I., Chiabrando, F., Lingua, A. M., and Noardo, F. (2018). Recent trends in cultural heritage 3D survey: The photogrammetric computer vision approach. Journal of Cultural Heritage 32:257–266,10.1016/j.culher.2017.11.006AicardiI.ChiabrandoF.LinguaA. M.NoardoF.2018Recent trends in cultural heritage 3D survey: The photogrammetric computer vision approachJournal of Cultural Heritage3225726610.1016/j.culher.2017.11.006Open DOISearch in Google Scholar

Al-Rawabdeh, A., Moussa, A., Foroutan, M., El-Sheimy, N., and Habib, A. (2017). Time series UAV image-based point clouds for landslide progression evaluation applications. Sensors 17(10):2378,10.3390/s17102378Al-RawabdehA.MoussaA.ForoutanM.El-SheimyN.HabibA.2017Time series UAV image-based point clouds for landslide progression evaluation applicationsSensors1710237810.3390/s17102378Open DOISearch in Google Scholar

Ali-Sisto, D. and Packalen, P. (2017). Forest change detection by using point clouds from dense image matching together with a LIDAR-derived terrain model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10(3):1197–1206,10.1109/JSTARS.2016.2615099Ali-SistoD.PackalenP.2017Forest change detection by using point clouds from dense image matching together with a LIDAR-derived terrain modelIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1031197120610.1109/JSTARS.2016.2615099Open DOISearch in Google Scholar

Alsadik, B., Gerke, M., and Vosselman, G. (2013). Automated camera network design for 3D modeling of cultural heritage objects. Journal of Cultural Heritage 14(6):515–526,10.1016/j.culher.2012.11.007AlsadikB.GerkeM.VosselmanG.2013Automated camera network design for 3D modeling of cultural heritage objectsJournal of Cultural Heritage14651552610.1016/j.culher.2012.11.007Open DOISearch in Google Scholar

Altan, O., Toz, G., Kulur, S., Seker, D., Volz, S., Fritsch, D., and Sester, M. (2001). Photogrammetry and geographic information systems for quick assessment, documentation and analysis of earthquakes. ISPRS Journal of Photogrammetry and Remote Sensing 55(5-6):359–372,10.1016/S0924-2716(01)00025-9AltanO.TozG.KulurS.SekerD.VolzS.FritschD.SesterM.2001Photogrammetry and geographic information systems for quick assessment, documentation and analysis of earthquakesISPRS Journal of Photogrammetry and Remote Sensing555-635937210.1016/S0924-2716(01)00025-9Open DOISearch in Google Scholar

Altuntas, C. (2013). Keypoint based automatic image orientation and skew investigation on tie points. Kybernetes 42(3):506–520,10.1108/03684921311323725AltuntasC.2013Keypoint based automatic image orientation and skew investigation on tie pointsKybernetes42350652010.1108/03684921311323725Open DOISearch in Google Scholar

Altuntas, C. (2014). The effect of point density on the registration accuracy of a terrestrial laser scanning dataset. Lasers in Engineering 28(3-4):213–221.AltuntasC.2014The effect of point density on the registration accuracy of a terrestrial laser scanning datasetLasers in Engineering283-4213221Search in Google Scholar

Awrangjeb, M., Fraser, C. S., and Lu, G. (2015). Building change detection from LIDAR point cloud data based on connected component analysis. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5:393–400,10.5194/isprsannals-II-3-W5-393-2015AwrangjebM.FraserC. S.LuG.2015Building change detection from LIDAR point cloud data based on connected component analysisISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesII-3W539340010.5194/isprsannals-II-3-W5-393-2015Open DOISearch in Google Scholar

Barazzetti, L., Scaioni, M., and Remondino, F. (2010). Orientation and 3D modelling from markerless terrestrial images: combining accuracy with automation. The Photogrammetric Record 25(132):356–381,10.1111/j.1477-9730.2010.00599.xBarazzettiL.ScaioniM.RemondinoF.2010Orientation and 3D modelling from markerless terrestrial images: combining accuracy with automationThe Photogrammetric Record2513235638110.1111/j.1477-9730.2010.00599.xOpen DOISearch in Google Scholar

Barnhart, T. and Crosby, B. (2013). Comparing two methods of surface change detection on an evolving thermokarst using high-temporal-frequency terrestrial laser scanning, Selawik River, Alaska. Remote Sensing 5(6):2813–2837,10.3390/rs5062813BarnhartT.CrosbyB.2013Comparing two methods of surface change detection on an evolving thermokarst using high-temporal-frequency terrestrial laser scanning, Selawik River, AlaskaRemote Sensing562813283710.3390/rs5062813Open DOISearch in Google Scholar

Basgall, P. L., Kruse, F. A., and Olsen, R. C. (2014). Comparison of LIDAR and stereo photogrammetric point clouds for change detection. In Laser Radar Technology and Applications XIX; and Atmospheric Propagation XI volume 9080R. International Society for Optics and Photonics.BasgallP. L.KruseF. A.OlsenR. C.2014Comparison of LIDAR and stereo photogrammetric point clouds for change detectionLaser Radar Technology and Applications XIX; and Atmospheric Propagation XI9080RInternational Society for Optics and Photonics10.1117/12.2049856Search in Google Scholar

Bay, H., Tuytelaars, T., and Van Gool, L. (2006). SURF: Speeded up robust features. In Leonardis, A., Bischof, H., and Pinz, A., editors, Computer Vision – ECCV 2006 pages 404–417. Springer.BayH.TuytelaarsT.Van GoolL.2006SURF: Speeded up robust featuresLeonardisA.BischofH.PinzA.Computer Vision – ECCV 2006404–417Springer10.1007/11744023_32Search in Google Scholar

Besl, P. J. and McKay, N. D. (1992). Method for registration of 3-D shapes. In Sensor Fusion IV: Control Paradigms and Data Structures volume 1611, pages 586–607. International Society for Optics and Photonics.BeslP. J.McKayN. D.1992Method for registration of 3-D shapesSensor Fusion IV: Control Paradigms and Data Structures1611586–607International Society for Optics and Photonics10.1109/34.121791Search in Google Scholar

Bildirici, O. I., Ustun, A., Selvi, Z. H., Abbak, A. R., and Bugdayci, I. (2009). Assessment of shuttle radar topography mission elevation data based on topographic maps in Turkey. Cartography and Geographic Information Science 36(1):95–104,10.1559/152304009787340205BildiriciO. I.UstunA.SelviZ. H.AbbakA. R.BugdayciI.2009Assessment of shuttle radar topography mission elevation data based on topographic maps in TurkeyCartography and Geographic Information Science3619510410.1559/152304009787340205Open DOISearch in Google Scholar

Calonder, M., Lepetit, V., Strecha, C., and Fua, P. (2010). BRIEF: Binary robust independent elementary features. In Daniilidis, K., Maragos, P., and Paragios, N., editors, "Computer Vision – ECCV 2010 pages 778–792. Springer.CalonderM.LepetitV.StrechaC.FuaP.2010BRIEF: Binary robust independent elementary featuresDaniilidisK.MaragosP.ParagiosN."Computer Vision – ECCV 2010778–792Springer10.1007/978-3-642-15561-1_56Search in Google Scholar

Chen, B., Chen, Z., Deng, L., Duan, Y., and Zhou, J. (2016). Building change detection with RGB-D map generated from UAV images. Neurocomputing 208:350–364,10.1016/j.neucom.2015.11.118ChenB.ChenZ.DengL.DuanY.ZhouJ.2016Building change detection with RGB-D map generated from UAV imagesNeurocomputing20835036410.1016/j.neucom.2015.11.118Open DOISearch in Google Scholar

Cooper, M. A. R. and Robson, S. (1990). High precision photogrammetric monitoring of the deformation of a steel bridge. The Photogrammetric Record 13(76):505–510,10.1111/j.1477-9730.1990.tb00712.xCooperM. A. R.RobsonS.1990High precision photogrammetric monitoring of the deformation of a steel bridgeThe Photogrammetric Record137650551010.1111/j.1477-9730.1990.tb00712.xOpen DOISearch in Google Scholar

Cusicanqui, J. (2016). 3D scene reconstruction and structural damage assessment with aerial video frames and drone still imagery. Master’s thesis, University of Twente.CusicanquiJ.20163D scene reconstruction and structural damage assessment with aerial video frames and drone still imageryMaster’s thesisUniversity of TwenteSearch in Google Scholar

Di, K., Xu, F., Wang, J., Agarwal, S., Brodyagina, E., Li, R., and Matthies, L. (2008). Photogrammetric processing of rover imagery of the 2003 Mars Exploration Rover mission. ISPRS Journal of Photogrammetry and Remote Sensing 63(2):181–201,10.1016/j.isprsjprs.2007.07.007DiK.XuF.WangJ.AgarwalS.BrodyaginaE.LiR.MatthiesL.2008Photogrammetric processing of rover imagery of the 2003 Mars Exploration Rover missionISPRS Journal of Photogrammetry and Remote Sensing63218120110.1016/j.isprsjprs.2007.07.007Open DOISearch in Google Scholar

Du, S., Zhang, Y., Qin, R., Yang, Z., Zou, Z., Tang, Y., and Fan, C. (2016). Building change detection using old aerial images and new LIDAR data. Remote Sensing 8(12):1030,10.3390/rs8121030DuS.ZhangY.QinR.YangZ.ZouZ.TangY.FanC.2016Building change detection using old aerial images and new LIDAR dataRemote Sensing812103010.3390/rs8121030Open DOISearch in Google Scholar

Fraser, C., Hanley, H., and Cronk, S. (2005). Close-range photogrammetry for accident reconstruction. In Gruen, A. and Kahmen, H., editors, Optical 3D Measurements VII volume II, pages 115–123.FraserC.HanleyH.CronkS.2005Close-range photogrammetry for accident reconstructionGruenA.KahmenH.Optical 3D Measurements VIIII115–123Search in Google Scholar

Gabrlik, P. (2015). The use of direct georeferencing in aerial photogrammetry with micro UAV. IFAC-PapersOnLine 48(4):380–385,10.1016/j.ifacol.2015.07.064GabrlikP.2015The use of direct georeferencing in aerial photogrammetry with micro UAVIFAC-PapersOnLine48438038510.1016/j.ifacol.2015.07.064Open DOISearch in Google Scholar

Ghuffar, S., Székely, B., Roncat, A., and Pfeifer, N. (2013). Landslide displacement monitoring using 3D range flow on airborne and terrestrial LIDAR data. Remote Sensing 5(6):2720–2745,10.3390/rs5062720GhuffarS.SzékelyB.RoncatA.PfeiferN.2013Landslide displacement monitoring using 3D range flow on airborne and terrestrial LIDAR dataRemote Sensing562720274510.3390/rs5062720Open DOISearch in Google Scholar

Haala, N. (2011). Multiray photogrammetry and dense image matching. In Fritsch, D., editor, Photogrammetric Week volume 11, pages 185–195.HaalaN.2011Multiray photogrammetry and dense image matchingFritschD.Photogrammetric Week11185–195Search in Google Scholar

Haala, N. and Rothermel, M. (2012). Dense multiple stereo matching of highly overlapping UAV imagery. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIX-B1:387–392,10.5194/isprsarchives-XXXIX-B1-387-2012HaalaN.RothermelM.2012Dense multiple stereo matching of highly overlapping UAV imageryInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesXXXIX-B138739210.5194/isprsarchives-XXXIX-B1-387-2012Open DOISearch in Google Scholar

Hartley, R. and Zisserman, A. (2003). Multiple view geometry in computer vision Cambridge University Press.HartleyR.ZissermanA.2003Multiple view geometry in computer visionCambridge University Press10.1017/CBO9780511811685Search in Google Scholar

Hebel, M., Arens, M., and Stilla, U. (2013). Change detection in urban areas by object-based analysis and on-the-fly comparison of multi-view ALS data. ISPRS Journal of Photogrammetry and Remote Sensing 86:52–64,10.1016/j.isprsjprs.2013.09.005HebelM.ArensM.StillaU.2013Change detection in urban areas by object-based analysis and on-the-fly comparison of multi-view ALS dataISPRS Journal of Photogrammetry and Remote Sensing86526410.1016/j.isprsjprs.2013.09.005Open DOISearch in Google Scholar

Honkavaara, E., Markelin, L., Rosnell, T., and Nurminen, K. (2012). Influence of solar elevation in radiometric and geometric performance of multispectral photogrammetry. IS-PRS Journal of Photogrammetry and Remote Sensing 67:13–26,10.1016/j.isprsjprs.2011.10.001HonkavaaraE.MarkelinL.RosnellT.NurminenK.2012Influence of solar elevation in radiometric and geometric performance of multispectral photogrammetryIS-PRS Journal of Photogrammetry and Remote Sensing67132610.1016/j.isprsjprs.2011.10.001Open DOISearch in Google Scholar

Hughes, M. L., McDowell, P. F., and Marcus, W. A. (2006). Accuracy assessment of georectified aerial photographs: implications for measuring lateral channel movement in a GIS. Geomorphology 74(1-4):1–16,10.1016/j.geomorph.2005.07.001HughesM. L.McDowellP. F.MarcusW. A.2006Accuracy assessment of georectified aerial photographs: implications for measuring lateral channel movement in a GISGeomorphology741-411610.1016/j.geomorph.2005.07.001Open DOISearch in Google Scholar

James, M. R., Robson, S., and Smith, M. W. (2017). 3-D uncertainty-based topographic change detection with structure-from-motion photogrammetry: precision maps for ground control and directly georeferenced surveys. Earth Surface Processes and Landforms 42(12):1769–1788,10.1002/esp.4125JamesM. R.RobsonS.SmithM. W.20173-D uncertainty-based topographic change detection with structure-from-motion photogrammetry: precision maps for ground control and directly georeferenced surveysEarth Surface Processes and Landforms42121769178810.1002/esp.4125Open DOISearch in Google Scholar

Jensen, J. and Mathews, A. (2016). Assessment of image-based point cloud products to generate a bare earth surface and estimate canopy heights in a woodland ecosystem. Remote Sensing 8(1):50,10.3390/rs8010050JensenJ.MathewsA.2016Assessment of image-based point cloud products to generate a bare earth surface and estimate canopy heights in a woodland ecosystemRemote Sensing815010.3390/rs8010050Open DOISearch in Google Scholar

Jiang, R., Jáuregui, D. V., and White, K. R. (2008). Close-range photogrammetry applications in bridge measurement: literature review. Measurement 41(8):823–834,10.1016/j.measurement.2007.12.005JiangR.JáureguiD. V.WhiteK. R.2008Close-range photogrammetry applications in bridge measurement: literature reviewMeasurement41882383410.1016/j.measurement.2007.12.005Open DOISearch in Google Scholar

Leberl, F., Irschara, A., Pock, T., Meixner, P., Gruber, M., Scholz, S., and Wiechert, A. (2010). Point clouds: LIDAR versus 3D vision. Photogrammetric Engineering & Remote Sensing 76(10):1123–1134,10.14358/PERS.76.10.1123LeberlF.IrscharaA.PockT.MeixnerP.GruberM.ScholzS.WiechertA.2010Point clouds: LIDAR versus 3D visionPhotogrammetric Engineering & Remote Sensing76101123113410.14358/PERS.76.10.1123Open DOISearch in Google Scholar

Lingua, A., Piumatti, P., and Rinaudo, F. (2003). Digital photogrammetry: a standard approach to cultural heritage survey. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 34(5/W12):210–215.LinguaA.PiumattiP.RinaudoF.2003Digital photogrammetry: a standard approach to cultural heritage surveyThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences345/W12210215Search in Google Scholar

Lovitt, J., Rahman, M. M., and McDermid, G. J. (2017). Assessing the value of UAV photogrammetry for characterizing terrain in complex peatlands. Remote Sensing 9(7):715,10.3390/rs9070715LovittJ.RahmanM. M.McDermidG. J.2017Assessing the value of UAV photogrammetry for characterizing terrain in complex peatlandsRemote Sensing9771510.3390/rs9070715Open DOISearch in Google Scholar

Lowe, D. G. (2004). Distinctive image features from scale-invariant keypoints. International journal of computer vision 60(2):91–110,10.1023/B:VISI.0000029664.99615.94LoweD. G.2004Distinctive image features from scale-invariant keypointsInternational journal of computer vision6029111010.1023/B:VISI.0000029664.99615.94Open DOISearch in Google Scholar

Mora, O. E., Lenzano, M. G., Toth, C. K., Grejner-Brzezinska, D., and Fayne, J. V. (2018). Landslide change detection based on multi-temporal airborne LIDAR-derived DEMs. Geo-sciences 8(1):23,10.3390/geosciences8010023MoraO. E.LenzanoM. G.TothC. K.Grejner-BrzezinskaD.FayneJ. V.2018Landslide change detection based on multi-temporal airborne LIDAR-derived DEMsGeo-sciences812310.3390/geosciences8010023Open DOISearch in Google Scholar

Nebiker, S., Lack, N., and Deuber, M. (2014). Building change detection from historical aerial photographs using dense image matching and object-based image analysis. Remote Sensing 6(9):8310–8336,10.3390/rs6098310NebikerS.LackN.DeuberM.2014Building change detection from historical aerial photographs using dense image matching and object-based image analysisRemote Sensing698310833610.3390/rs6098310Open DOISearch in Google Scholar

Pang, S., Hu, X., Cai, Z., Gong, J., and Zhang, M. (2018). Building change detection from bi-temporal dense-matching point clouds and aerial images. Sensors 18(4):966,10.3390/s18040966PangS.HuX.CaiZ.GongJ.ZhangM.2018Building change detection from bi-temporal dense-matching point clouds and aerial imagesSensors18496610.3390/s18040966594861129587371Open DOISearch in Google Scholar

Pfeifer, N., Glira, P., and Briese, C. (2012). Direct georeferencing with on board navigation components of light weight UAV platforms. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 39(B7):487–492,10.5194/isprsarchives-XXXIX-B7-487-2012PfeiferN.GliraP.BrieseC.2012Direct georeferencing with on board navigation components of light weight UAV platformsInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences39B748749210.5194/isprsarchives-XXXIX-B7-487-2012Open DOISearch in Google Scholar

Remondino, F., Spera, M. G., Nocerino, E., Menna, F., Nex, F., and Gonizzi-Barsanti, S. (2013). Dense image matching: comparisons and analyses. In 2013 Digital Heritage International Congress (DigitalHeritage) volume 1, pages 47–54. IEEE.RemondinoF.SperaM. G.NocerinoE.MennaF.NexF.Gonizzi-BarsantiS.2013Dense image matching: comparisons and analyses2013 Digital Heritage International Congress (DigitalHeritage)147–5410.1109/DigitalHeritage.2013.6743712Search in Google Scholar

Rosnell, T. and Honkavaara, E. (2012). Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still camera. Sensors 12(1):453–480,10.3390/s120100453RosnellT.HonkavaaraE.2012Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still cameraSensors12145348010.3390/s120100453327922322368479Open DOISearch in Google Scholar

Rossi, P., Mancini, F., Dubbini, M., Mazzone, F., and Capra, A. (2017). Combining nadir and oblique UAV imagery to reconstruct quarry topography: Methodology and feasibility analysis. European Journal of Remote Sensing 50(1):211–221,10.1080/22797254.2017.1313097RossiP.ManciniF.DubbiniM.MazzoneF.CapraA.2017Combining nadir and oblique UAV imagery to reconstruct quarry topography: Methodology and feasibility analysisEuropean Journal of Remote Sensing50121122110.1080/22797254.2017.1313097Open DOISearch in Google Scholar

Scaioni, M., Roncella, R., and Alba, M. I. (2013). Change detection and deformation analysis in point clouds: Application to rock face monitoring. Photogrammetric Engineering & Remote Sensing 79(5):441–455,10.14358/PERS.79.5.441ScaioniM.RoncellaR.AlbaM. I.2013Change detection and deformation analysis in point clouds: Application to rock face monitoringPhotogrammetric Engineering & Remote Sensing79544145510.14358/PERS.79.5.441Open DOISearch in Google Scholar

Stumpf, A., Malet, J.-P., Allemand, P., Pierrot-Deseilligny, M., and Skupinski, G. (2015). Ground-based multi-view photogrammetry for the monitoring of landslide deformation and erosion. Geomorphology 231:130–145,10.1016/j.geomorph.2014.10.039StumpfA.MaletJ.-P.AllemandP.Pierrot-DeseillignyM.SkupinskiG.2015Ground-based multi-view photogrammetry for the monitoring of landslide deformation and erosionGeomorphology23113014510.1016/j.geomorph.2014.10.039Open DOISearch in Google Scholar

Tran, T. H. G., Ressl, C., and Pfeifer, N. (2018). Integrated change detection and classification in urban areas based on airborne laser scanning point clouds. Sensors 18(2):448,10.3390/s18020448TranT. H. G.ResslC.PfeiferN.2018Integrated change detection and classification in urban areas based on airborne laser scanning point cloudsSensors18244810.3390/s18020448585596329401656Open DOISearch in Google Scholar

Vu, T. T., Matsuoka, M., and Yamazaki, F. (2004). LIDAR-based change detection of buildings in dense urban areas. In IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium volume 5, pages 3413–3416. IEEE.VuT. T.MatsuokaM.YamazakiF.2004LIDAR-based change detection of buildings in dense urban areasIGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium53413–3416Search in Google Scholar

Xiao, W., Vallet, B., Brédif, M., and Paparoditis, N. (2015). Street environment change detection from mobile laser scanning point clouds. ISPRS Journal of Photogrammetry and Remote Sensing 107:38–49,10.1016/j.isprsjprs.2015.04.011XiaoW.ValletB.BrédifM.PaparoditisN.2015Street environment change detection from mobile laser scanning point cloudsISPRS Journal of Photogrammetry and Remote Sensing107384910.1016/j.isprsjprs.2015.04.011Open DOISearch in Google Scholar

Yang, M.-D., Chao, C.-F., Huang, K.-S., Lu, L.-Y., and Chen, Y.-P. (2013). Image-based 3D scene reconstruction and exploration in augmented reality. Automation in Construction 33:48–60,10.1016/j.autcon.2012.09.017YangM.-D.ChaoC.-F.HuangK.-S.LuL.-Y.ChenY.-P.2013Image-based 3D scene reconstruction and exploration in augmented realityAutomation in Construction33486010.1016/j.autcon.2012.09.017Open DOISearch in Google Scholar

Yu, G. and Morel, J.-M. (2011). ASIFT: An algorithm for fully affine invariant comparison. Image Processing On Line 1:11–38,10.5201/ipol.2011.my-asiftYuG.MorelJ.-M.2011ASIFT: An algorithm for fully affine invariant comparisonImage Processing On Line1113810.5201/ipol.2011.my-asiftOpen DOISearch in Google Scholar

Zhang, X., Glennie, C., and Kusari, A. (2015). Change detection from differential airborne LIDAR using a weighted anisotropic iterative closest point algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8(7):3338–3346,10.1109/JSTARS.2015.2398317ZhangX.GlennieC.KusariA.2015Change detection from differential airborne LIDAR using a weighted anisotropic iterative closest point algorithmIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing873338334610.1109/JSTARS.2015.2398317Open DOISearch in Google Scholar

Zhang, Z., Gerke, M., Vosselman, G., and Yang, M. Y. (2018). A patch-based method for the evaluation of dense image matching quality. International journal of applied earth observation and geoinformation 70:25–34,10.1016/j.jag.2018.04.002ZhangZ.GerkeM.VosselmanG.YangM. Y.2018A patch-based method for the evaluation of dense image matching qualityInternational journal of applied earth observation and geoinformation70253410.1016/j.jag.2018.04.002Open DOISearch in Google Scholar

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