22.3.2.1.1 Building Change Detection

Chapter Contents (Back)
Remote Sensing. Registration. Change Detection. Building Change. Aerial Image Analysis. Site Models: See also Site Model Change Detection, Map Update. See also Change Detection -- Image Level. See also Building Analysis and Detection Systems, Multi-View.

Murakami, H.[Hiroshi], Nakagawa, K.[Katsuto], Hasegawa, H.[Hiroyuki], Shibata, T.[Taku], Iwanami, E.[Eiji],
Change detection of buildings using an airborne laser scanner,
PandRS(54), No. 2-3, July 1999, pp. 148-152.
Elsevier DOI Acquire a digital surface model of urban areas. Simple comparison between DSMs acquired at different times detected building changes. BibRef 9907

Steinle, E., Vögtle, T.,
Automated Extraction and Reconstruction of Buildings in Laser Scanning Data for Disaster Management,
Ascona01(309-318). Use LIDAR to quickly model buildings and detect changes. Approximage buildings by planar faces. 0201
BibRef

Jung, F.[Franck],
Detecting building changes from multitemporal aerial stereopairs,
PandRS(58), No. 3-4, January 2004, pp. 187-201.
Elsevier DOI 0411
BibRef

Carlotto, M.J.,
Detection and Analysis of Change in Remotely-Sensed Imagery with Application to Wide Area Surveillance,
IP(6), No. 1, January 1997, pp. 189-202.
IEEE DOI 9703
BibRef

Carlotto, M.J.,
A cluster-based approach for detecting man-made objects and changes in imagery,
GeoRS(43), No. 2, February 2005, pp. 374-387.
IEEE Abstract. 0501
BibRef

Lee, B.G., Tom, V.T., and Carlotto, M.J.,
A Signal-Symbol Approach to Change Detection,
AAAI-86(1138- ). The Analytic Sciences Corp. BibRef 8600

Matikainen, L., Hyyppä, J., Ahokas, E., Markelin, L., Kaartinen, H.,
Automatic Detection of Buildings and Changes in Buildings for Updating of Maps,
RS(2), No. 5, May 2010, pp. 1217-1248.
DOI Link 1203
BibRef

Champion, N.[Nicolas], Boldo, D.[Didier], Pierrot-Deseilligny, M.[Marc], Stamon, G.[Georges],
2D building change detection from high resolution satelliteimagery: A two-step hierarchical method based on 3D invariant primitives,
PRL(31), No. 10, 15 July 2010, pp. 1138-1147.
Elsevier DOI 1008
BibRef
Earlier:
Automatic estimation of fine terrain models from multiple high-resolution satellite images,
ICIP09(577-580).
IEEE DOI 0911
Change detection; Building vector database; Digital Surface Models; Digital Terrain Models; High resolution satellite imagery; Quality assessment BibRef

Champion, N.[Nicolas], Stamon, G.[Georges], Pierrot-Deseilligny, M.[Marc],
Automatic GIS Updating from High Resolution Satellite Images,
MVA09(374-).
PDF File. 0905
See also Automatic Building Extraction from DEMs Using an Object Approach and Application to the 3D-City Modeling. BibRef

Debaque, B., Stamon, G., Pierrot-Deseilligny, M.,
An area-based alignment method for 3d urban models,
ICPR02(I: 61-64).
IEEE DOI 0211
Find a transformation and validate. BibRef

Chen, L.C.[Liang-Chien], Lin, L.J.[Li-Jer],
Detection of building changes from aerial images and light detecting and ranging (LIDAR) data,
AppRS(4), November 2010, pp. 041870.
DOI Link 1105
BibRef

Chen, L.C.[Liang-Chien], Lin, L.J.[Li-Jer], and Chang, W.C.[Wen-Chi],
Imaging data detects changes in urban areas over time,
SPIE(Newsroom), May 19, 2011
DOI Link 1105
A scheme for identifying altered features of cityscapes that compares existing building models with new lidar data points and aerial images improves the accuracy of 3D spatial information. BibRef

Nebiker, S.[Stephan], Lack, N.[Natalie], Deuber, M.[Marianne],
Building Change Detection from Historical Aerial Photographs Using Dense Image Matching and Object-Based Image Analysis,
RS(6), No. 9, 2014, pp. 8310-8336.
DOI Link 1410
BibRef

Qin, R.J.[Rong-Jun],
Change detection on LOD 2 building models with very high resolution spaceborne stereo imagery,
PandRS(96), No. 1, 2014, pp. 179-192.
Elsevier DOI 1410
Stereo imagery BibRef

Pang, S.Y.[Shi-Yan], Hu, X.Y.[Xiang-Yun], Wang, Z.[Zizheng], Lu, Y.[Yihui],
Object-Based Analysis of Airborne LiDAR Data for Building Change Detection,
RS(6), No. 11, 2014, pp. 10733-10749.
DOI Link 1412
BibRef

Du, S.H.[Shi-Hong], Zhang, F.[Fangli], Zhang, X.Y.[Xiu-Yuan],
Semantic classification of urban buildings combining VHR image and GIS data: An improved random forest approach,
PandRS(105), No. 1, 2015, pp. 107-119.
Elsevier DOI 1506
Very high resolution (VHR) images BibRef

Fruehmann, R.[Richard], Waugh, R.[Rachael], Dulieu-Barton, J.[Janice],
A fresh look at assessing structural performance using imaging techniques,
SPIE(Newsroom), June 15, 2015.
DOI Link 1507
A lock-in algorithm is used to combine digital image correlation with thermoelastic stress analyses to offer greater data richness, paving the way to strain-based nondestructive evaluation. BibRef

Hullo, J.F.[Jean-François], Thibault, G.[Guillaume], Boucheny, C.[Christian], Dory, F.[Fabien], Mas, A.[Arnaud],
Multi-Sensor As-Built Models of Complex Industrial Architectures,
RS(7), No. 12, 2015, pp. 15827.
DOI Link 1601
BibRef

Wang, C.M.[Chun-Mei], Yang, Q.[Qinke], Jupp, D.L.B.[David Laurence Barry], Pang, G.[Guowei],
Modeling Change of Topographic Spatial Structures with DEM Resolution Using Semi-Variogram Analysis and Filter Bank,
IJGI(5), No. 7, 2016, pp. 107.
DOI Link 1608
BibRef

Qin, R.J.[Rong-Jun], Tian, J.J.[Jiao-Jiao], Reinartz, P.[Peter],
3D change detection-Approaches and applications,
PandRS(122), No. 1, 2016, pp. 41-56.
Elsevier DOI 1612
3D change detection BibRef

Du, S.J.[Shou-Ji], Zhang, Y.S.[Yun-Sheng], Qin, R.J.[Rong-Jun], Yang, Z.H.[Zhi-Hua], Zou, Z.R.[Zheng-Rong], Tang, Y.[Yuqi], Fan, C.[Chong],
Building Change Detection Using Old Aerial Images and New LiDAR Data,
RS(8), No. 12, 2016, pp. 1030.
DOI Link 1612
BibRef

Xiao, P.F.[Peng-Feng], Yuan, M.[Min], Zhang, X.L.[Xue-Liang], Feng, X.Z.[Xue-Zhi], Guo, Y.W.[Yan-Wen],
Cosegmentation for Object-Based Building Change Detection From High-Resolution Remotely Sensed Images,
GeoRS(55), No. 3, March 2017, pp. 1587-1603.
IEEE DOI 1703
Buildings BibRef


Sabuncu, A., Avci, Z.D.U.[Z. D. Uca], Sunar, F.,
Preliminary Results Of Earthquake-induced Building Damage Detection With Object-based Image Classification,
ISPRS16(B7: 347-350).
DOI Link 1610
BibRef

Hron, V., Halounova, L.,
Nationwide Hybrid Change Detection Of Buildings,
ISPRS16(B7: 497-504).
DOI Link 1610
BibRef

Vacca, G., Mistretta, F., Stochino, F., Dessi, A.,
Terrestrial Laser Scanner For Monitoring The Deformations And The Damages Of Buildings,
ISPRS16(B5: 453-460).
DOI Link 1610
BibRef

Peng, D.F.[Dai-Feng], Zhang, Y.J.[Yong-Jun],
Building Change Detection By Combining Lidar Data And Ortho Image,
ISPRS16(B3: 669-676).
DOI Link 1610
BibRef

Chen, J., Hou, J.L., Deng, M.,
An Approach To Alleviate The False Alarm In Building Change Detection From Urban VHR Image,
ISPRS16(B7: 459-465).
DOI Link 1610
BibRef

Cheriguene, R.S., Mahi, H.,
Buildings Change Detection on Quickbird Imagery,
CGiV16(368-371)
IEEE DOI 1608
buildings (structures) BibRef

Pontecorvo, C., Sherrah, J.[Jamie],
Anomaly Detection of Man-Made Objects in Large Aerial Images,
DICTA15(1-8)
IEEE DOI 1603
image classification BibRef

Nakagawa, M., Yamamoto, T., Tanaka, S., Noda, Y., Hashimoto, K., Ito, M., Miyo, M.,
Location-Based Infrastructure Inspection for Sabo Facilities,
Gi4DM15(257-262).
DOI Link 1602
BibRef

Chen, B.[Baohua], Deng, L.[Lei], Duan, Y.[Yueqi], Huang, S.Y.[Si-Yuan], Zhou, J.[Jie],
Building change detection based on 3D reconstruction,
ICIP15(4126-4130)
IEEE DOI 1512
2D-3D registration BibRef

Cheng, H.M., Yang, W.B., Yen, Y.N.,
BIM applied in historical building documentation and refurbishing,
CIPA15(85-90).
DOI Link 1508
BibRef

Hron, V., Halounova, L.,
Use of Aerial Images for Regular Updates of Buildings in the Fundamental Base of Geographic Data of the Czech Republic,
PIA15(73-79).
DOI Link 1504
BibRef

Huang, J.[Jing], You, S.[Suya],
Change Detection in Laser-Scanned Data of Industrial Sites,
WACV15(733-740)
IEEE DOI 1503
Data models. BibRef

Tetsuka, D.[Daiki], Okatani, T.[Takayuki],
Detecting Building-Level Changes of a City Using Street Images and a 2D City Map,
WACV15(349-356)
IEEE DOI 1503
Buildings BibRef

Tuttas, S., Braun, A., Borrmann, A., Stilla, U.,
Comparision of photogrammetric point clouds with BIM building elements for construction progress monitoring,
PCV14(341-345).
DOI Link 1404
BibRef

Zong, K.[Kaibin], Sowmya, A.[Arcot], Trinder, J.,
Building Change Detection Based on Markov Random Field: Exploiting Both Pixel and Corner Features,
DICTA15(1-7)
IEEE DOI 1603
BibRef
Earlier:
Kernel Partial Least Squares Based Hierarchical Building Change Detection Using High Resolution Aerial Images and Lidar Data,
DICTA13(1-7)
IEEE DOI 1402
Markov processes. airborne radar BibRef

Tian, J., Reinartz, P.,
Comparison of Two Fusion Based Building Change Detection Methods Using Satellite Stereo Imagery and DSMS,
IWIDF13(103-108).
HTML Version. 1311
See also Region Based Forest Change Detection from CARTOSAT-1 Stereo Imagery. BibRef

Saldana, M., Johanson, C.,
Procedural Modeling for Rapid-Prototyping of Multiple Building Phases,
3DARCH13(205-210).
DOI Link 1308
BibRef

Beumier, C.[Charles], Idrissa, M.[Mahamadou],
Building Change Detection from Uniform Regions,
CIARP12(648-655).
Springer DOI 1209
BibRef

Dini, G.R., Jacobsen, K., Rottensteiner, F., Al Rajhi, M., Heipke, C.,
3D Building Change Detection Using High Resolution Stereo Images and a GIS Database,
ISPRS12(XXXIX-B7:299-304).
DOI Link 1209
BibRef

du Plessis, S.,
Identifying Building Change Using High Resolution Point Clouds: An Object-based Approach,
ISPRS12(XXXIX-B7:305-309).
DOI Link 1209
BibRef

Ishimaru, N., Iwamura, K., Kagawa, Y., Hino, T.,
Housediff: A Map-based Building Change Detection From High Resolution Satellite Imagery Using Geometric Optimization Method,
ISPRS12(XXXIX-B4:73-78).
DOI Link 1209
BibRef

Tanauchi, Y., Chikatsu, H.,
Efficient Extraction Method of the Change of Buildings for Fixed Property Investigation,
ISPRS12(XXXIX-B5:57-62).
DOI Link 1209
BibRef

Champion, N., Rottensteiner, F., Matikainen, L.[Leena], Liang, X., Hyyppä, J.[Juha], Olsen, B.P.,
A Test of Automatic Building Change Detection Approaches,
CMRT09(145-150).
PDF File. 0909
BibRef

Champion, N.,
2D Building Change Detection from High Resolution Aerial Images and Correlation Digital Surface Models,
PIA07(197).
PDF File. 0711
BibRef

Nakagawa, M.[Masafumi], Shibasaki, R.[Ryosuke],
Building Change Detection Using 3-D Texture Model,
ISPRS08(B3a: 173 ff).
PDF File. 0807
BibRef

Rottensteiner, F.[Franz],
Automated Updating of Building Data Bases from Digital Surface Models and Multi-Spectral Images: Potential and Limitations,
ISPRS08(B3a: 265 ff).
PDF File. 0807
BibRef
Earlier:
Building Change Detection from Digital Surface Models and Multi-Spectral Images,
PIA07(145).
PDF File. 0711
BibRef

Watanabe, S., Miyajima, K.,
Detecting Building Changes Using Epipolar Constraint from Aerial Images Taken at Different Positions,
ICIP01(II: 201-204).
IEEE DOI 0108
BibRef

Jamet, O., Maitre, H., Le Men, H.,
Applying the Theory of Evidence to Vector-D.E.M. Comparison for the Building Planimetric Change Detection,
ISPRSGIS99(29-34). BibRef 9900

Mukawa, N.[Naoki], Miyajima, K.[Koji], Watanabe, S.[Shintaro],
Detecting Changes of Buildings from Aerial Images Using Shadow and Shading Model,
ICPR98(Vol II: 1408-1412).
IEEE DOI 9808
BibRef

Chapter on Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR continues in
Change Detection for Damage Assessment .


Last update:Mar 13, 2017 at 16:25:24