Rapid Damage Assessment from High Resolution Imagery
Disaster impact modeling and analysis uses huge volumes of image data that are produced immediately following a natural or an anthropogenic disaster event. Rapid damage assessment is the key to time critical decision support in disaster management to better utilize available response resources and a...
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| creator | Vijayaraj, V. Bright, E.A. Bhaduri, B.L. |
| description | Disaster impact modeling and analysis uses huge volumes of image data that are produced immediately following a natural or an anthropogenic disaster event. Rapid damage assessment is the key to time critical decision support in disaster management to better utilize available response resources and accelerate recovery and relief efforts. But exploiting huge volumes of high resolution image data for identifying damaged areas with robust consistency in near real time is a challenging task. In this paper, we present an automated image analysis technique to identify areas of structural damage from high resolution optical satellite data using features based on image content. |
| doi_str_mv | 10.1109/IGARSS.2008.4779393 |
| format | Conference Proceeding |
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Rapid damage assessment is the key to time critical decision support in disaster management to better utilize available response resources and accelerate recovery and relief efforts. But exploiting huge volumes of high resolution image data for identifying damaged areas with robust consistency in near real time is a challenging task. 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Rapid damage assessment is the key to time critical decision support in disaster management to better utilize available response resources and accelerate recovery and relief efforts. But exploiting huge volumes of high resolution image data for identifying damaged areas with robust consistency in near real time is a challenging task. In this paper, we present an automated image analysis technique to identify areas of structural damage from high resolution optical satellite data using features based on image content.</description><subject>damage assessment</subject><subject>feature extraction</subject><subject>Government</subject><subject>Image resolution</subject><subject>image texture analysis</subject><subject>Protection</subject><issn>2153-6996</issn><issn>2153-7003</issn><isbn>1424428076</isbn><isbn>9781424428076</isbn><isbn>9781424428083</isbn><isbn>1424428084</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kNtqwkAYhLcHoWrzBN7sCyT9_z3vZbBVA0IhtteyMRu7xRjJ2gvfvkrTq4GZ4RsYQmYIGSLYl2KZl5tNxgBMJrS23PI7klhtUDAhmAHD78mYoeSpBuAPZPIfaPU4BMpaNSKTG8OC0gqfSBLjNwCgVcZKPiaidKdQ01fXur2neYw-xtYfz7Tpu5auwv6Llj52h59z6I60uLX6yzMZNe4QfTLolHwu3j7mq3T9vizm-ToNyK_zWEvYVRId37mKS0QtfeW8qlQlVC2EdDXY5uqik0zpxmjuhcTGKSWdloxPyeyPG7z321MfWtdftsMb_BerREuK</recordid><startdate>200807</startdate><enddate>200807</enddate><creator>Vijayaraj, V.</creator><creator>Bright, E.A.</creator><creator>Bhaduri, B.L.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200807</creationdate><title>Rapid Damage Assessment from High Resolution Imagery</title><author>Vijayaraj, V. ; Bright, E.A. ; Bhaduri, B.L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1353-1d50cb51a3cab351175ebae6b6b46d445ad09f1751a5267f873e451fa665a7523</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>damage assessment</topic><topic>feature extraction</topic><topic>Government</topic><topic>Image resolution</topic><topic>image texture analysis</topic><topic>Protection</topic><toplevel>online_resources</toplevel><creatorcontrib>Vijayaraj, V.</creatorcontrib><creatorcontrib>Bright, E.A.</creatorcontrib><creatorcontrib>Bhaduri, B.L.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Vijayaraj, V.</au><au>Bright, E.A.</au><au>Bhaduri, B.L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Rapid Damage Assessment from High Resolution Imagery</atitle><btitle>IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium</btitle><stitle>IGARSS</stitle><date>2008-07</date><risdate>2008</risdate><volume>3</volume><spage>III - 499</spage><epage>III - 502</epage><pages>III - 499-III - 502</pages><issn>2153-6996</issn><eissn>2153-7003</eissn><isbn>1424428076</isbn><isbn>9781424428076</isbn><eisbn>9781424428083</eisbn><eisbn>1424428084</eisbn><abstract>Disaster impact modeling and analysis uses huge volumes of image data that are produced immediately following a natural or an anthropogenic disaster event. Rapid damage assessment is the key to time critical decision support in disaster management to better utilize available response resources and accelerate recovery and relief efforts. But exploiting huge volumes of high resolution image data for identifying damaged areas with robust consistency in near real time is a challenging task. In this paper, we present an automated image analysis technique to identify areas of structural damage from high resolution optical satellite data using features based on image content.</abstract><pub>IEEE</pub><doi>10.1109/IGARSS.2008.4779393</doi><oa>free_for_read</oa></addata></record> |
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| ispartof | IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008, Vol.3, p.III - 499-III - 502 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | damage assessment feature extraction Government Image resolution image texture analysis Protection |
| title | Rapid Damage Assessment from High Resolution Imagery |
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