{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T11:28:48Z","timestamp":1779276528454,"version":"3.51.4"},"reference-count":45,"publisher":"Elsevier BV","issue":"25","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T00:00:00Z","timestamp":1773619200000},"content-version":"vor","delay-in-days":166,"URL":"https:\/\/2.zoppoz.workers.dev:443\/http\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2227467"],"award-info":[{"award-number":["2227467"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer-Aided Civil and Infrastructure Engineering"],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1111\/mice.70033","type":"journal-article","created":{"date-parts":[[2025,8,14]],"date-time":"2025-08-14T05:55:36Z","timestamp":1755150936000},"page":"4116-4131","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"title":["Debris segmentation using post\u2010hurricane aerial imagery"],"prefix":"10.1016","volume":"40","author":[{"given":"Kooshan","family":"Amini","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jamie Ellen","family":"Padgett","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guha","family":"Balakrishnan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashok","family":"Veeraraghavan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1111\/mice.70033_bb0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109579","article-title":"Probabilistic risk assessment of hurricane\u2010induced debris impacts on coastal transportation infrastructure","volume":"240","author":"Amini","year":"2023","journal-title":"Reliability Engineering & System Safety"},{"key":"10.1111\/mice.70033_bb0015","doi-asserted-by":"crossref","unstructured":"Bertels, J., Eelbode, T., Berman, M., Vandermeulen, D., Maes, F., Bisschops, R., & Blaschko, M. (2019). Optimizing the Dice score and Jaccard index for medical image segmentation: Theory & practice. arXiv. https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.48550\/arXiv.1911.01685","DOI":"10.1007\/978-3-030-32245-8_11"},{"issue":"1","key":"10.1111\/mice.70033_bb0020","doi-asserted-by":"crossref","first-page":"5364","DOI":"10.1038\/s41598-020-62298-z","article-title":"Finding plastic patches in coastal waters using optical satellite data","volume":"10","author":"Biermann","year":"2020","journal-title":"Scientific Reports"},{"issue":"15","key":"10.1111\/mice.70033_bb0025","doi-asserted-by":"crossref","first-page":"2389","DOI":"10.1111\/mice.13197","article-title":"Automated building damage assessment and large\u2010scale mapping by integrating satellite imagery, GIS, & deep learning","volume":"39","author":"Braik","year":"2024","journal-title":"Computer\u2010Aided Civil and Infrastructure Engineering"},{"key":"10.1111\/mice.70033_bb0030","unstructured":"Chen, L.\u2010C., Papandreou, G., Schroff, F., & Adam, H. (2017). Rethinking atrous convolution for semantic image segmentation. https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.48550\/arXiv.1706.05587"},{"key":"10.1111\/mice.70033_bb0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijdrr.2024.104785","article-title":"A post\u2010hurricane building debris estimation workflow enabled by uncertainty\u2010aware AI and crowdsourcing","volume":"112","author":"Cheng","year":"2024","journal-title":"International Journal of Disaster Risk Reduction"},{"key":"10.1111\/mice.70033_bb0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijdrr.2024.104468","article-title":"A framework to enhance disaster debris estimation with AI and aerial photogrammetry","volume":"107","author":"Cheng","year":"2024","journal-title":"International Journal of Disaster Risk Reduction"},{"key":"10.1111\/mice.70033_bb0045","series-title":"2020 IEEE international conference on big data (big data)","first-page":"3904","article-title":"Comprehensive semantic segmentation on high resolution UAV imagery for natural disaster damage assessment","author":"Chowdhury","year":"2020"},{"key":"10.1111\/mice.70033_bb0050","unstructured":"Department of Homeland Security Office of Inspector General. (2018). Observations of FEMA's debris monitoring efforts for Hurricane Irma. OIG\u201018\u201085 Report. https:\/\/2.zoppoz.workers.dev:443\/https\/www.oig.dhs.gov\/sites\/default\/files\/assets\/Mga\/2018\/oig\u201018\u201085\u2010sep18.pdf"},{"key":"10.1111\/mice.70033_bb0055","unstructured":"Emam, Z., Kondrich, A., Harrison, S., Lau, F., Wang, Y., Kim, A., & Branson, E. (2021). On the state of data in computer vision: Human annotations remain indispensable for developing deep learning models. https:\/\/2.zoppoz.workers.dev:443\/https\/arxiv.org\/abs\/2108.00114"},{"key":"10.1111\/mice.70033_bb0060","unstructured":"Federal Emergency Management Agency (FEMA). (2023). IS\u2010633: Debris Management Plan Development. https:\/\/2.zoppoz.workers.dev:443\/https\/training.fema.gov\/is\/courseoverview.aspx?code=IS\u2010633"},{"issue":"4","key":"10.1111\/mice.70033_bb0065","doi-asserted-by":"crossref","first-page":"668","DOI":"10.3390\/jmse12040668","article-title":"Hurricane Ian damage assessment using aerial imagery and LiDAR: A case study of Estero Island, Florida","volume":"12","author":"Hauptman","year":"2024","journal-title":"Journal of Marine Science and Engineering"},{"issue":"7","key":"10.1111\/mice.70033_bb0070","doi-asserted-by":"crossref","first-page":"2217","DOI":"10.1109\/JSTARS.2019.2918242","article-title":"Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification","volume":"12","author":"Helber","year":"2019","journal-title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"},{"key":"10.1111\/mice.70033_bb0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2021.112414","article-title":"Remote detection of marine debris using satellite observations in the visible and near infrared spectral range: Challenges and potentials","volume":"259","author":"Hu","year":"2021","journal-title":"Remote Sensing of Environment"},{"issue":"18","key":"10.1111\/mice.70033_bb0080","doi-asserted-by":"crossref","first-page":"2553","DOI":"10.3390\/w13182553","article-title":"A cloud\u2010based framework for large\u2010scale monitoring of ocean plastics using multi\u2010spectral satellite imagery and generative adversarial network","volume":"13","author":"Jamali","year":"2021","journal-title":"Water"},{"issue":"3","key":"10.1111\/mice.70033_bb0085","doi-asserted-by":"crossref","first-page":"933","DOI":"10.1080\/19475705.2014.1003417","article-title":"Automatic urban debris zone extraction from post\u2010hurricane very high\u2010resolution satellite and aerial imagery","volume":"7","author":"Jiang","year":"2016","journal-title":"Geomatics, Natural Hazards and Risk"},{"issue":"12","key":"10.1111\/mice.70033_bb0090","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1177\/03611981211029921","article-title":"Post\u2010hurricane vegetative debris assessment using spectral indices derived from satellite imagery","volume":"2675","author":"Karaer","year":"2021","journal-title":"Transportation Research Record: Journal of the Transportation Research Board"},{"issue":"15","key":"10.1111\/mice.70033_bb0095","doi-asserted-by":"crossref","first-page":"2072","DOI":"10.1111\/mice.12981","article-title":"Large\u2010scale building damage assessment using a novel hierarchical transformer architecture on satellite images","volume":"38","author":"Kaur","year":"2023","journal-title":"Computer\u2010Aided Civil and Infrastructure Engineering"},{"issue":"4","key":"10.1111\/mice.70033_bb0100","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1111\/mice.12890","article-title":"Post\u2010disaster damage classification based on deep multi\u2010view image fusion","volume":"38","author":"Khajwal","year":"2023","journal-title":"Computer\u2010Aided Civil and Infrastructure Engineering"},{"key":"10.1111\/mice.70033_bb0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.gecco.2024.e03007","article-title":"Assessing hurricane impact on vegetation and endangered deer habitat using airborne LiDAR and multispectral images","volume":"53","author":"Kim","year":"2024","journal-title":"Global Ecology and Conservation"},{"key":"10.1111\/mice.70033_bb0110","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"4015","article-title":"Segment anything","author":"Kirillov","year":"2023"},{"key":"10.1111\/mice.70033_bb0115","doi-asserted-by":"crossref","unstructured":"Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A.C., Lo, W.\u2010Y., Doll\u00e1r, P., & Girshick, R. (2023b). Segment anything. In Proceedings of the IEEE\/CVF International Conference on Computer Vision (pp. 3992\u20134003). IEEE.","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"10.1111\/mice.70033_bb0120","doi-asserted-by":"crossref","unstructured":"Liu, S., Zeng, Z., Ren, T., Li, F., Zhang, H., Yang, J., Li, C., Yang, J., Su, H., Zhu, J., & Zhang, L. (2024). Grounding DINO: Marrying DINO with grounded pre\u2010training for open\u2010set object detection. https:\/\/2.zoppoz.workers.dev:443\/https\/arxiv.org\/abs\/2303.05499","DOI":"10.1007\/978-3-031-72970-6_3"},{"key":"10.1111\/mice.70033_bb0125","unstructured":"Loshchilov, I. (2017). Decoupled weight decay regularization. arXiv. https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.48550\/arXiv.1711.05101"},{"key":"10.1111\/mice.70033_bb0130","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"7086","article-title":"Image segmentation using text and image prompts","author":"L\u00fcddecke","year":"2022"},{"key":"10.1111\/mice.70033_bb0135","unstructured":"National Geodetic Survey. (2025). National Geodetic Survey\u2014emergency response imagery index."},{"key":"10.1111\/mice.70033_bb0140","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijdrr.2022.103215","article-title":"An integrated framework for temporary disaster debris management sites selection and debris collection logistics planning using geographic information systems and agent\u2010based modeling","volume":"80","author":"Nickdoost","year":"2022","journal-title":"International Journal of Disaster Risk Reduction"},{"key":"10.1111\/mice.70033_bb0145","unstructured":"NOAA. (2018). National Geodetic Survey damage assessment imagery (Hurricane Michael). https:\/\/2.zoppoz.workers.dev:443\/https\/oceanservice.noaa.gov\/news\/oct18\/michael\u2010storm\u2010imagery.html"},{"key":"10.1111\/mice.70033_bb0150","unstructured":"NOAA National Centers for Environmental Information. (2025). U.S. billion\u2010dollar weather and climate disasters. https:\/\/2.zoppoz.workers.dev:443\/https\/www.ncei.noaa.gov\/access\/billions. https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.25921\/stkw\u20107w73"},{"key":"10.1111\/mice.70033_bb0155","unstructured":"OCM Partners. (2025). 2022 USACE FEMA NCMP Phase One Natural Color 8 Bit Imagery: Post Hurricane Ian, FL from 2010\u201006\u201015 to 2010\u201008\u201015, NOAA National Centers for Environmental Information. https:\/\/2.zoppoz.workers.dev:443\/https\/www.fisheries.noaa.gov\/inport\/item\/72118"},{"key":"10.1111\/mice.70033_bb0160","doi-asserted-by":"crossref","DOI":"10.1016\/j.jag.2023.103540","article-title":"The segment anything model (SAM) for remote sensing applications: From zero to one shot","volume":"124","author":"Osco","year":"2023","journal-title":"International Journal of Applied Earth Observation and Geoinformation"},{"key":"10.1111\/mice.70033_bb0165","series-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision","first-page":"8647","article-title":"Zero\u2010shot building attribute extraction from large\u2010scale vision and language models","author":"Pan","year":"2024"},{"key":"10.1111\/mice.70033_bb0170","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2019.101009","article-title":"Convolutional neural networks for object detection in aerial imagery for disaster response and recovery","volume":"43","author":"Pi","year":"2020","journal-title":"Advanced Engineering Informatics"},{"key":"10.1111\/mice.70033_bb0175","first-page":"1","article-title":"Deep learning for automatic post\u2010disaster debris identification for precise damage assessments using UAV footage","author":"Prakash","year":"2025","journal-title":"Applied Geomatics"},{"key":"10.1111\/mice.70033_bb0180","series-title":"International Conference on Machine Learning","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","author":"Radford","year":"2021"},{"issue":"1","key":"10.1111\/mice.70033_bb0185","doi-asserted-by":"crossref","first-page":"913","DOI":"10.1038\/s41597-023-02799-4","article-title":"Rescuenet: A high resolution UAV semantic segmentation dataset for natural disaster damage assessment","volume":"10","author":"Rahnemoonfar","year":"2023","journal-title":"Scientific Data"},{"issue":"3","key":"10.1111\/mice.70033_bb0190","doi-asserted-by":"crossref","DOI":"10.1061\/(ASCE)NH.1527-6996.0000246","article-title":"Designsafe: New cyberinfrastructure for natural hazards engineering","volume":"18","author":"Rathje","year":"2017","journal-title":"Natural Hazards Review"},{"key":"10.1111\/mice.70033_bb0195","unstructured":"Ren, T., Liu, S., Zeng, A., Lin, J., Li, K., Cao, H., Chen, J., Huang, X., Chen, Y., Yan, F., Zeng, Z., Zhang, H., Li, F., Yang, J., Li, H., Jiang, Q., & Zhang, L. (2024). Grounded SAM: Assembling open\u2010world models for diverse visual tasks. https:\/\/2.zoppoz.workers.dev:443\/https\/arxiv.org\/abs\/2401.14159"},{"key":"10.1111\/mice.70033_bb0200","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., & Brox, T. (2015). U\u2010Net: Convolutional networks for biomedical image segmentation. https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.48550\/arXiv.1505.04597","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"10.1111\/mice.70033_bb0205","series-title":"Proceedings of the IEEE\/CVF international conference on computer vision","first-page":"11987","article-title":"What does clip know about a red circle? Visual prompt engineering for VLMS","author":"Shtedritski","year":"2023"},{"key":"10.1111\/mice.70033_bb0210","unstructured":"U.S. Government Accountability Office. (2008). Hurricane Katrina: Continuing debris removal and disposal issues. Technical Report\u2014GAO\u201008\u2010985R, U.S. Government Accountability Office."},{"issue":"12","key":"10.1111\/mice.70033_bb0215","doi-asserted-by":"crossref","first-page":"5929","DOI":"10.1007\/s11263-024-02168-7","article-title":"Exploiting diffusion prior for real\u2010world image super\u2010resolution","volume":"132","author":"Wang","year":"2024","journal-title":"International Journal of Computer Vision"},{"issue":"3","key":"10.1111\/mice.70033_bb0220","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1111\/mice.12410","article-title":"Optimization of temporary debris management site selection and site service regions for enhancing postdisaster debris removal operations","volume":"34","author":"Wang","year":"2019","journal-title":"Computer\u2010Aided Civil and Infrastructure Engineering"},{"key":"10.1111\/mice.70033_bb0225","first-page":"15750","article-title":"Disentangling human error from ground truth in segmentation of medical images","volume":"33","author":"Zhang","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1111\/mice.70033_bb0230","series-title":"The Twelfth International Conference on Learning Representations","article-title":"Personalize segment anything model with one shot","author":"Zhang","year":"2024"}],"container-title":["Computer-Aided Civil and Infrastructure Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S1093968726012879?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/api.elsevier.com\/content\/article\/PII:S1093968726012879?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/mice.70033","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T09:21:56Z","timestamp":1773652916000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/linkinghub.elsevier.com\/retrieve\/pii\/S1093968726012879"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":45,"journal-issue":{"issue":"25","published-print":{"date-parts":[[2025,10]]}},"alternative-id":["S1093968726012879"],"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1111\/mice.70033","relation":{},"ISSN":["1093-9687"],"issn-type":[{"value":"1093-9687","type":"print"}],"subject":[],"published":{"date-parts":[[2025,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Debris segmentation using post\u2010hurricane aerial imagery","name":"articletitle","label":"Article Title"},{"value":"Computer-Aided Civil and Infrastructure Engineering","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.1111\/mice.70033","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2025 Computer\u2010Aided Civil and Infrastructure Engineering. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}]}}