22.3.2.2 Change Detection for Damage Assessment

Chapter Contents (Back)
Remote Sensing. Registration. Aerial Image Analysis. Change Detection. Damage Assessment. Building Damage. See also Change Detection -- Image Level. See also Forest Fire Evaluation, Wildfire Analysis, Fire Detection, Fire Damage Assessment. See also Flood Analysis, Damage Assessment.

Gamba, P.[Paolo], Casciati, F.[Fabio],
GIS and Image Understanding for Near-Real-Time Earthquake Damage Assessment,
PhEngRS(64), No. 10, October 1998, pp. 987. BibRef 9810

Spillman, W.B., Huston, D.R.,
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OptEng(37), No. 3, March 1998, pp. 898-903. 9804
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Abuelgasim, A.A., Gopal, S.,
Change detection using adaptive fuzzy neural networks: Environmental damage assessment after the Gulf war,
RSE(70), No. 2, 1999, pp. 208-223. 9911
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Al-Khudhairy, D.H.A., Caravaggi, I., Giada, S.,
Structural Damage Assessments from Ikonos Data Using Change Detection, Object-Oriented Segmentation, and Classification Techniques,
PhEngRS(71), No. 7, July 2005, pp. 825-838. Classical change detection methods, object-oriented image segmentation, and classification techniques are applied to investigate effectiveness for identifying post-disaster, structurally damaged zones using very high resolution satellite imagery.
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Gamba, P., Dell'Acqua, F., Trianni, G.,
Rapid Damage Detection in the Bam Area Using Multitemporal SAR and Exploiting Ancillary Data,
GeoRS(45), No. 6, June 2007, pp. 1582-1589.
IEEE DOI 0706
See also Improvements to urban area characterization using multitemporal and multiangle SAR images. BibRef

Dell'Acqua, F., Gamba, P.,
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PIEEE(100), No. 10, October 2012, pp. 2876-2890.
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Trianni, G.[Giovanna], Gamba, P.[Paolo],
Fast damage mapping in case of earthquakes using multitemporal SAR data,
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Springer DOI 0909
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Sertel, E., Kaya, S., Curran, P.J.,
Use of Semivariograms to Identify Earthquake Damage in an Urban Area,
GeoRS(45), No. 6, June 2007, pp. 1590-1594.
IEEE DOI 0706
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Barnes, C.F., Fritz, H., Yoo, J.,
Hurricane Disaster Assessments With Image-Driven Data Mining in High-Resolution Satellite Imagery,
GeoRS(45), No. 6, June 2007, pp. 1631-1640.
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Barnes, C.F.,
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GeoRS(45), No. 9, September 2007, pp. 2964-2978.
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Kouchi, K., Yamazaki, F.,
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GeoRS(45), No. 6, June 2007, pp. 1650-1657.
IEEE DOI 0706
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Bovolo, F.[Francesca], Bruzzone, L.[Lorenzo],
A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment,
GeoRS(45), No. 6, June 2007, pp. 1658-1670.
IEEE DOI 0706
See also Detail-Preserving Scale-Driven Approach to Change Detection in Multitemporal SAR Images, A. BibRef

Bovolo, F.[Francesca], Marin, C.[Carlo], Bruzzone, L.[Lorenzo],
A Hierarchical Approach to Change Detection in Very High Resolution SAR Images for Surveillance Applications,
GeoRS(51), No. 4, April 2013, pp. 2042-2054.
IEEE DOI 1304
BibRef
Earlier:
A multilevel approach to change detection for port surveillance with very high resolution SAR images,
MultiTemp11(9-12).
IEEE DOI 1109
BibRef

Bovolo, F., Bruzzone, L., Marconcini, M.,
A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure,
GeoRS(46), No. 7, July 2008, pp. 2070-2082.
IEEE DOI 0806
BibRef

Bovolo, F., Marchesi, S., Bruzzone, L.,
A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images,
GeoRS(50), No. 6, June 2012, pp. 2196-2212.
IEEE DOI 1205
See also Detail-Preserving Scale-Driven Approach to Change Detection in Multitemporal SAR Images, A. BibRef

Fernandez-Prieto, D., Marconcini, M.,
A Novel Partially Supervised Approach to Targeted Change Detection,
GeoRS(49), No. 12, December 2011, pp. 5016-5038.
IEEE DOI 1201
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Chini, M., Pierdicca, N., Emery, W.J.,
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GeoRS(47), No. 1, January 2009, pp. 145-152.
IEEE DOI 0901
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Tagliavini, F., Reichenbach, P., Maragna, D., Guzzetti, F., Pasuto, A.,
Comparison of 2-D and 3-D computer models for the M. Salta rock fall, Vajont Valley, northern Italy,
GeoInfo(13), No. 3, September 2009, pp. xx-yy.
Springer DOI 0905
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Cohen, A.R.[Andrew R.], Bjornsson, C.S.[Christopher S.], Temple, S.[Sally], Banker, G.[Gary], Roysam, B.[Badrinath],
Automatic Summarization of Changes in Biological Image Sequences Using Algorithmic Information Theory,
PAMI(31), No. 8, August 2009, pp. 1386-1403.
IEEE DOI 0906
Summarize changes in a medical sequence. Tissue strain due to insertion of probe/tool. BibRef

Brunner, D., Lemoine, G., Bruzzone, L.,
Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery,
GeoRS(48), No. 5, May 2010, pp. 2403-2420.
IEEE DOI 1006
See also Building Height Retrieval From VHR SAR Imagery Based on an Iterative Simulation and Matching Technique. BibRef

Manfredi, M., Aldrighi, M., Dell'Acqua, F.,
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GeoRS(48), No. 7, July 2010, pp. 2890-2898.
IEEE DOI 1007
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Guglielmino, F., Nunnari, G., Puglisi, G., Spata, A.,
Simultaneous and Integrated Strain Tensor Estimation From Geodetic and Satellite Deformation Measurements to Obtain Three-Dimensional Displacement Maps,
GeoRS(49), No. 6, June 2011, pp. 1815-1826.
IEEE DOI 1106
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Splinter, K.D., Strauss, D.R., Tomlinson, R.B.,
Assessment of Post-Storm Recovery of Beaches Using Video Imaging Techniques: A Case Study at Gold Coast, Australia,
GeoRS(49), No. 12, December 2011, pp. 4704-4716.
IEEE DOI 1201
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Sjahputera, O., Scott, G.J., Claywell, B.C., Klaric, M.N., Hudson, N.J., Keller, J.M., Davis, C.H.,
Clustering of Detected Changes in High-Resolution Satellite Imagery Using a Stabilized Competitive Agglomeration Algorithm,
GeoRS(49), No. 12, December 2011, pp. 4687-4703.
IEEE DOI 1201
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Klaric, M.N., Claywell, B.C., Scott, G.J., Hudson, N.J., Sjahputera, O., Li, Y., Barratt, S.T., Keller, J.M., Davis, C.H.,
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GeoRS(51), No. 4, April 2013, pp. 2067-2086.
IEEE DOI 1304
BibRef

Matsuoka, M., Nojima, N.,
Building Damage Estimation by Integration of Seismic Intensity Information and Satellite L-band SAR Imagery,
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Bielski, C., Gentilini, S., Pappalardo, M.,
Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing,
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DOI Link 1203
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Ghoshal, S., James, L., Singer, M., Aalto, R.,
Channel and Floodplain Change Analysis over a 100-Year Period: Lower Yuba River, California,
RS(2), No. 7, July 2010, pp. 1797-1825.
DOI Link 1203
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Rocchini, D.,
Ecological Status and Change by Remote Sensing,
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DOI Link 1203
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Vassilakis, E.,
Remote Sensing of Environmental Change in the Antirio Deltaic Fan Region, Western Greece,
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Tong, X.H.[Xiao-Hua], Hong, Z.H.[Zhong-Hua], Liu, S.J.[Shi-Jie], Zhang, X.[Xue], Xie, H.[Huan], Li, Z.Y.[Zheng-Yuan], Yang, S.[Sonlin], Wang, W.[Weian], Bao, F.[Feng],
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PandRS(68), No. 1, March 2012, pp. 13-27.
Elsevier DOI 1204
Building collapse detection; Earthquake; Rational polynomial coefficient; Geopositioning accuracy; Digital elevation model; IKONOS stereo images BibRef

Debella-Gilo, M.[Misganu], Kääb, A.[Andreas],
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PandRS(69), No. 1, April 2012, pp. 10-28.
Elsevier DOI 1202
Image matching; Normalized cross-correlation; Mass movement; Displacement; Adaptive template BibRef

Towler, J., Krawiec, B., Kochersberger, K.,
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Wagner, M.A., Myint, S.W., Cerveny, R.S.,
Geospatial Assessment of Recovery Rates Following a Tornado Disaster,
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IEEE DOI 1210
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Yamaguchi, Y.,
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Sato, M., Chen, S.W.[Si-Wei], Satake, M.,
Polarimetric SAR Analysis of Tsunami Damage Following the March 11, 2011 East Japan Earthquake,
PIEEE(100), No. 10, October 2012, pp. 2861-2875.
IEEE DOI 1210
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Chen, S.W., Sato, M.,
Tsunami Damage Investigation of Built-Up Areas Using Multitemporal Spaceborne Full Polarimetric SAR Images,
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IEEE DOI 1304
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Hooper, A., Prata, F., Sigmundsson, F.,
Remote Sensing of Volcanic Hazards and Their Precursors,
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IEEE DOI 1210
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Wu, L.X.[Li-Xin], Qin, K.[Kai], Liu, S.J.[Shan-Jun],
GEOSS-Based Thermal Parameters Analysis for Earthquake Anomaly Recognition,
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IEEE DOI 1210
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Klonus, S.[Sascha], Ehlers, M.[Manfred], Tomowski, D.[Daniel], Michel, U.[Ulrich], Reinartz, P.[Peter],
Detection of Damaged Buildings in Crisis Areas from Panchromatic Remote Sensing Data,
PFG(2011), No. 4, 2011, pp. 219-231.
WWW Link. 1211
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Ehlers, M., Klonus, S., Jarmer, T., Sofina, N., Michel, U., Reinartz, P., Sirmacek, B.,
Cest Analysis: Automated Change Detection From Very-high-resolution Remote Sensing Images,
ISPRS12(XXXIX-B7:317-322).
DOI Link 1209
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Pesci, A.[Arianna], Teza, G.[Giordano], Bonali, E.[Elena], Casula, G.[Giuseppe], Boschi, E.[Enzo],
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Elsevier DOI 1305
Architecture; Change detection; Laser scanning; Model; Performance BibRef

Tong, X.H.[Xiao-Hua], Lin, X.F.[Xiao-Fei], Feng, T.T.[Tian-Tian], Xie, H.[Huan], Liu, S.J.[Shi-Jie], Hong, Z.H.[Zhong-Hua], Chen, P.[Peng],
Use of shadows for detection of earthquake-induced collapsed buildings in high-resolution satellite imagery,
PandRS(79), No. 1, May 2013, pp. 53-67.
Elsevier DOI 1305
Hybrid approach; Shadow analysis; Building collapse detection; High-resolution satellite image; Earthquake-induced damage assessment; Accuracy BibRef

Brett, P.T.B., Guida, R.,
Earthquake Damage Detection in Urban Areas Using Curvilinear Features,
GeoRS(51), No. 9, 2013, pp. 4877-4884.
IEEE DOI 1309
Buildings BibRef

Dong, L.G.[Lai-Gen], Shan, J.[Jie],
A comprehensive review of earthquake-induced building damage detection with remote sensing techniques,
PandRS(84), No. 0, 2013, pp. 85-99.
Elsevier DOI 1309
Earthquakes BibRef

Frattini, P.[Paolo], Crosta, G.B.[Giovanni B.], Allievi, J.[Jacopo],
Damage to Buildings in Large Slope Rock Instabilities Monitored with the PSInSAR™ Technique,
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Kerfoot, W.C.[W. Charles], Hobmeier, M.M.[Martin M.], Yousef, F.[Foad], Green, S.A.[Sarah A.], Regis, R.[Robert], Brooks, C.N.[Colin N.], Shuchman, R.[Robert], Anderson, J.[Jamey], Reif, M.[Molly],
Light Detection and Ranging (LiDAR) and Multispectral Scanner (MSS) Studies Examine Coastal Environments Influenced by Mining,
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Thomas, J., Kareem, A., Bowyer, K.W.,
Automated Poststorm Damage Classification of Low-Rise Building Roofing Systems Using High-Resolution Aerial Imagery,
GeoRS(52), No. 7, July 2014, pp. 3851-3861.
IEEE DOI 1403
Buildings BibRef

Li, N.[Ning], Wang, R.[Robert], Liu, Y.[Yabo], Du, K.N.[Kang-Ning], Chen, J.[Jiaqi], Deng, Y.[Yunkai],
Robust river boundaries extraction of dammed lakes in mountain areas after Wenchuan Earthquake from high resolution SAR images combining local connectivity and ACM,
PandRS(94), No. 1, 2014, pp. 91-101.
Elsevier DOI 1407
Airborne SAR imagery BibRef

Plank, S.[Simon],
Rapid Damage Assessment by Means of Multi-Temporal SAR: A Comprehensive Review and Outlook to Sentinel-1,
RS(6), No. 6, 2014, pp. 4870-4906.
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Bovolo, F.[Francesca], Bruzzone, L.[Lorenzo],
A Detail-Preserving Scale-Driven Approach to Change Detection in Multitemporal SAR Images,
GeoRS(43), No. 12, December 2005, pp. 2963-2972.
IEEE DOI 0512
BibRef
Earlier:
An Adaptive Multiscale Approach to Unsupervised Change Detection in Multitemporal SAR Images,
ICIP05(I: 665-668).
IEEE DOI 0512
See also Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment, A. BibRef

Marin, C., Bovolo, F.[Francesca], Bruzzone, L.[Lorenzo],
Building Change Detection in Multitemporal Very High Resolution SAR Images,
GeoRS(53), No. 5, May 2015, pp. 2664-2682.
IEEE DOI 1502
radar detection BibRef

Liu, S.C.[Si-Cong], Bruzzone, L.[Lorenzo], Bovolo, F.[Francesca], Du, P.J.[Pei-Jun],
Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images,
GeoRS(53), No. 1, January 2015, pp. 244-260.
IEEE DOI 1410
See also Detail-Preserving Scale-Driven Approach to Change Detection in Multitemporal SAR Images, A. See also Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment, A. artificial satellites BibRef

Liu, S.C.[Si-Cong], Du, P.J.[Pei-Jun],
Object-Oriented Change Detection from Multi-Temporal Remotely Sensed Images,
GEOBIA10(xx-yy).
PDF File. 1007
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Wang, J.H.[Jian-Hua], Qin, Q.M.[Qi-Ming], Zhao, J.H.[Jiang-Hua], Ye, X.[Xin], Feng, X.[Xiao], Qin, X.[Xuebin], Yang, X.C.[Xiu-Cheng],
Knowledge-Based Detection and Assessment of Damaged Roads Using Post-Disaster High-Resolution Remote Sensing Image,
RS(7), No. 4, 2015, pp. 4948-4967.
DOI Link 1505
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Wang, J.H.[Jian-Hua], Qin, Q.M.[Qi-Ming], Gao, Z.L.[Zhong-Ling], Zhao, J.H.[Jiang-Hua], Ye, X.[Xin],
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IJGI(5), No. 7, 2016, pp. 114.
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Vetrivel, A.[Anand], Gerke, M.[Markus], Kerle, N.[Norman], Vosselman, G.[George],
Identification of damage in buildings based on gaps in 3D point clouds from very high resolution oblique airborne images,
PandRS(105), No. 1, 2015, pp. 61-78.
Elsevier DOI 1506
Oblique images BibRef

Osaragi, T.[Toshihiro],
Modeling Obstruction and Restoration of Urban Commutation Networks in the Wake of a Devastating Earthquake in Tokyo,
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Jiang, W.G.[Wei-Guo], Jia, K.[Kai], Wu, J.J.[Jian-Jun], Tang, Z.H.[Zheng-Hong], Wang, W.J.[Wen-Jie], Liu, X.F.[Xiao-Fu],
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Xu, H.[Hao], Cheng, L.[Liang], Li, M.[Manchun], Chen, Y.M.[Yan-Ming], Zhong, L.[Lishan],
Using Octrees to Detect Changes to Buildings and Trees in the Urban Environment from Airborne LiDAR Data,
RS(7), No. 8, 2015, pp. 9682.
DOI Link 1509
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Taneja, A.[Aparna], Ballan, L.[Luca], Pollefeys, M.[Marc],
Geometric Change Detection in Urban Environments Using Images,
PAMI(37), No. 11, November 2015, pp. 2193-2206.
IEEE DOI 1511
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Earlier:
Image based detection of geometric changes in urban environments,
ICCV11(2336-2343).
IEEE DOI 1201
object detection. to direct 3D analysis to changed areas. BibRef

Zhang, H.Z.[Huai-Zhen], Wang, X.[Xiaomeng], Fan, J.[Jianrong], Chi, T.[Tianhe], Yang, S.[Shun], Peng, L.[Ling],
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Zhang, H.Z.[Huai-Zhen], Chi, T.[Tianhe], Fan, J.R.[Jian-Rong], Hu, K.H.[Kai-Heng], Peng, L.[Ling],
Spatial Analysis of Wenchuan Earthquake-Damaged Vegetation in the Mountainous Basins and Its Applications,
RS(7), No. 5, 2015, pp. 5785-5804.
DOI Link 1506
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Zhai, W.[Wei], Shen, H.F.[Huan-Feng], Huang, C.L.[Chun-Lin], Pei, W.S.[Wan-Sheng],
Building Earthquake Damage Information Extraction from a Single Post-Earthquake PolSAR Image,
RS(8), No. 3, 2016, pp. 171.
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Vetrivel, A.[Anand], Gerke, M.[Markus], Kerle, N.[Norman], Vosselman, G.[George],
Identification of Structurally Damaged Areas in Airborne Oblique Images Using a Visual-Bag-of-Words Approach,
RS(8), No. 3, 2016, pp. 231.
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Gueguen, L., Hamid, R.,
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GeoRS(54), No. 6, June 2016, pp. 3378-3387.
IEEE DOI 1606
geophysical image processing BibRef

Cerra, D.[Daniele], Plank, S.[Simon], Lysandrou, V.[Vasiliki], Tian, J.J.[Jiao-Jiao],
Cultural Heritage Sites in Danger: Towards Automatic Damage Detection from Space,
RS(8), No. 9, 2016, pp. 781.
DOI Link 1610
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Earlier: A1, A4, A3, A2:
Automatic Damage Detection For Sensitive Cultural Heritage Sites,
ISPRS16(B5: 215-219).
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Cooner, A.J.[Austin J.], Shao, Y.[Yang], Campbell, J.B.[James B.],
Detection of Urban Damage Using Remote Sensing and Machine Learning Algorithms: Revisiting the 2010 Haiti Earthquake,
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Chen, S.W., Wang, X.S., Sato, M.,
Urban Damage Level Mapping Based on Scattering Mechanism Investigation Using Fully Polarimetric SAR Data for the 3.11 East Japan Earthquake,
GeoRS(54), No. 12, December 2016, pp. 6919-6929.
IEEE DOI 1612
earthquakes BibRef

Gong, L.X.[Li-Xia], Wang, C.[Chao], Wu, F.[Fan], Zhang, J.F.[Jing-Fa], Zhang, H.[Hong], Li, Q.A.[Qi-Ang],
Earthquake-Induced Building Damage Detection with Post-Event Sub-Meter VHR TerraSAR-X Staring Spotlight Imagery,
RS(8), No. 11, 2016, pp. 887.
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Liu, H.[Hai], Koyama, C.[Christian], Zhu, J.F.[Jin-Feng], Liu, Q.[Qinghuo], Sato, M.[Motoyuki],
Post-Earthquake Damage Inspection of Wood-Frame Buildings by a Polarimetric GB-SAR System,
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Karimzadeh, S.[Sadra], Mastuoka, M.[Masashi],
Building Damage Assessment Using Multisensor Dual-Polarized Synthetic Aperture Radar Data for the 2016 M 6.2 Amatrice Earthquake, Italy,
RS(9), No. 4, 2017, pp. xx-yy.
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Janalipour, M.[Milad], Mohammadzadeh, A.[Ali],
A Fuzzy-GA Based Decision Making System for Detecting Damaged Buildings from High-Spatial Resolution Optical Images,
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Tu, J.[Jihui], Li, D.R.[De-Ren], Feng, W.Q.[Wen-Qing], Han, Q.[Qinhu], Sui, H.G.[Hai-Gang],
Detecting Damaged Building Regions Based on Semantic Scene Change from Multi-Temporal High-Resolution Remote Sensing Images,
IJGI(6), No. 5, 2017, pp. xx-yy.
DOI Link 1706
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Xiao, Z.F.[Zhi-Feng], Long, Y.[Yang], Li, D.R.[De-Ren], Wei, C.S.[Chun-Shan], Tang, G.[Gefu], Liu, J.Y.[Jun-Yi],
High-Resolution Remote Sensing Image Retrieval Based on CNNs from a Dimensional Perspective,
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Frank, J.[Jared], Rebbapragada, U.[Umaa], Bialas, J.[James], Oommen, T.[Thomas], Havens, T.C.[Timothy C.],
Effect of Label Noise on the Machine-Learned Classification of Earthquake Damage,
RS(9), No. 8, 2017, pp. xx-yy.
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Fujita, A., Sakurada, K., Imaizumi, T., Ito, R., Hikosaka, S., Nakamura, R.,
Damage detection from aerial images via convolutional neural networks,
MVA17(5-8)
DOI Link 1708
Agriculture, Buildings, Image resolution, Neural networks, Organizations, Satellites, Tsunami BibRef

Meixner, P., Eckstein, M.,
Multi-temporal Analysis of WWII Reconnaissance Photos,
ISPRS16(B8: 973-978).
DOI Link 1610
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Stentoumis, C., Protopapadakis, E., Doulamis, A., Doulamis, N.,
A Holistic Approach For Inspection Of Civil Infrastructures Based On Computer Vision Techniques,
ISPRS16(B5: 131-138).
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Kuny, S., Hammer, H., Schulz, K.,
Assessing the Suitability of Simulated SAR Signatures of Debris for the Usage In Damage Detection,
ISPRS16(B3: 877-881).
DOI Link 1610
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Laun, S., Rösch, N., Breunig, M., Doori, M.A.[M. Al],
Implementation Of Kriging Methods In Mobile GIS To Estimate Damage To Buildings In Crisis Scenarios,
ISPRS16(B2: 211-216).
DOI Link 1610
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Gokaraju, B., Turlapaty, A.C., Doss, D.A., King, R.L., Younan, N.H.,
Change detection analysis of tornado disaster using conditional copulas and Data Fusion for cost-effective disaster management,
AIPR15(1-8)
IEEE DOI 1605
emergency management BibRef

Faur, D., Datcu, M.,
A rapid mapping approach to quantify damages caused by the 2003 bam earthquake using high resolution multitemporal optical images,
MultiTemp15(1-4)
IEEE DOI 1511
disasters BibRef

Shi, X., Lu, L., Yang, S., Huang, G., Zhao, Z.,
Object-oriented change detection based on weighted polarimetric scattering differences on POLSAR images,
IWIDF15(149-154).
DOI Link 1508
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Hang, D., Hassan, G.M.[Ghulam Mubashar], MacNish, C.[Cara], Dyskin, A.[Arcady],
Characteristics of Color Digital Image Correlation for Deformation Measurement in Geomechanical Structures,
DICTA16(1-8)
IEEE DOI 1701
BibRef
Earlier: A2, A3, A4, Only:
Extending Digital Image Correlation to Reconstruct Displacement and Strain Fields around Discontinuities in Geomechanical Structures under Deformation,
WACV15(710-717)
IEEE DOI 1503
Color. Accuracy BibRef

Uglešic, D.[Davor], Uglešic, A.[Ante],
Assessment of Structural Natural Frequencies and Application in the Calibration of FEM Models and Structural Health Monitoring,
EuroMed14(669-677).
Springer DOI 1412
evaluation of buildings. BibRef

Nex, F., Rupnik, E., Toschi, I., Remondino, F.,
Automated processing of high resolution airborne images for earthquake damage assessment,
LandImaging14(315-321).
DOI Link 1411
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Murtiyoso, A., Remondino, F., Rupnik, E., Nex, F., Grussenmeyer, P.,
Oblique Aerial Photography Tool for Building Inspection and Damage Assessment,
LandImaging14(309-313).
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Sui, H., Tu, J., Song, Z., Chen, G., Li, Q.,
A Novel 3D Building Damage Detection Method Using Multiple Overlapping UAV Images,
Thematic14(173-179).
DOI Link 1404
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Souami, M.A.,
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Ariyasu, E., Koizumi, M., Ikubo, M., Hatake, S.,
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Matsuoka, R., Nagusa, I., Yasuhara, H., Mori, M., Katayama, T., Yachi, N., Hasui, A., Katakuse, M., Atagi, T.,
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Matsuoka, R., Nagusa, I., Yasuhara, H., Mori, M., Katayama, T., Yachi, N., Hasui, A., Katakuse, M., Atagi, T.,
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Michel, U., Thunig, H., Ehlers, M., Reinartz, P.,
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Elberink, S.O.[Sander Oude], Shoko, M.[Moreblessings], Rutzinger, M.[Martin], Fathi, S.A.[Seyed Abdolmajid],
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Gao, S.Q.[Shan-Qing], Liu, Y.W.[Yu-Wen], Feng, Z.L.[Zhong-Lin],
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A Feature Based Approach to Automatic Change Detection from Lidar Data in Urban Areas,
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Hommel, M.[Miriam],
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Yu, J.H.[Jung-Hum], Ng, A.H.M.[Alex Hay-Man], Jung, S.H.[Sung-Heuk], Ge, L.L.[Lin-Lin], Rizos, C.[Chris],
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Brito, J.L.N.S.[Jorge Luís Nunese Silva], Silveira, M.T.[Marcelo Teixeira], Jacobsen, K.[Karsten], Amorim, S.[Sandro], Mota, G.L.A.[Guilherme Lúcio Abelha], Feitosa, R.Q.[Raul Queiroz], Heipke, C.[Christian],
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Puente, I.[Iván], González-Jorge, H.[Higinio], Arias, P.[Pedro], Armesto, J.[Julia],
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Sumer, E., Turker, M.,
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Simizu, H., Gotoh, T., Saji, H.,
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ICIP03(I: 829-832).
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Kauffmann, M.[Michael],
Facade Classification for Damage Detection,
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Chapter on Cartography, Aerial Images, Remote Sensing, Buildings, Roads, Terrain, ATR continues in
Flood Analysis, Damage Assessment .


Last update:Sep 25, 2017 at 16:36:46