{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1390845713069205376.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.20965/jdr.2019.p0456"}},{"identifier":{"@type":"NDL_BIB_ID","@value":"029614835"}},{"identifier":{"@type":"URI","@value":"http://id.ndl.go.jp/bib/029614835"}},{"identifier":{"@type":"URI","@value":"https://ndlsearch.ndl.go.jp/books/R000000004-I029614835"}},{"identifier":{"@type":"URI","@value":"https://www.fujipress.jp/main/wp-content/themes/Fujipress/phyosetsu.php?ppno=DSSTR001400030004"}},{"identifier":{"@type":"NAID","@value":"130007626700"}}],"resourceType":"学術雑誌論文(journal article)","dc:title":[{"@language":"en","@value":"Building Damage Assessment Using Intensity SAR Data with Different Incidence Angles and Longtime Interval"}],"dc:language":"en","description":[{"type":"abstract","notation":[{"@language":"en","@value":"<p>When carrying out change detection for building damage assessment using synthetic aperture radar (SAR) intensity images, it is desirable that the observation conditions of the images are similar and acquisition time is close to the earthquake occurrence time. In this way, the influence of the radar operating system and ground temporal changes can be minimized, facilitating high-accuracy assessment results. However, in practice, especially in poor developing areas, it is difficult to obtain ideal images owing to limited pre-event data archives. In the 2015 Gorkha, Nepal earthquake, the TerraSAR-X satellite captured the influenced Sankhu area before and after the earthquake on May 30, 2010 and May 13, 2015, respectively. The pre-event data was obtained in an ascending path with an incidence angle of 41°, whereas the post-event data was obtained in a descending path with an incidence angle of 33°. To apply the obtained data that had different observation conditions and longtime intervals for building damage assessment, two ways were considered and studied. On one hand, the feasibility of change detection considering these factors was investigated. Pixel statistic characteristics were analyzed in twelve test areas to check the influence of temporal changes, and building footprints were buffered considering two different incidence angles. On the other hand, the reliability of classification based on only post-event data was studied. The results showed good classification performance of some texture parameters, such as the “range value” and “standard deviation,” which are worthy of further study. Moreover, the classification results obtained using the post-event data achieved similar accuracy to that using both the pre- and post-event data, preliminarily indicating the research value of post-event data-based building damage detection as it can solve the pre-event data limitation problem once and for all.</p>"}],"abstractLicenseFlag":"disallow"}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1410845713069205377","@type":"Researcher","personIdentifier":[{"@type":"NRID","@value":"9000402250900"}],"foaf:name":[{"@language":"en","@value":"Ge Pinglan"}],"jpcoar:affiliationName":[{"@language":"en","@value":"Graduate School of Engineering, The University of Tokyo"}]},{"@id":"https://cir.nii.ac.jp/crid/1420282801205492224","@type":"Researcher","personIdentifier":[{"@type":"KAKEN_RESEARCHERS","@value":"10757777"},{"@type":"NRID","@value":"1000010757777"},{"@type":"NRID","@value":"9000248251971"},{"@type":"NRID","@value":"9000261035358"},{"@type":"NRID","@value":"9000408596934"},{"@type":"NRID","@value":"9000398275204"},{"@type":"NRID","@value":"9000402250901"},{"@type":"NRID","@value":"9000398281151"},{"@type":"NRID","@value":"9000398282781"},{"@type":"NRID","@value":"9000414561068"},{"@type":"NRID","@value":"9000403163972"},{"@type":"NRID","@value":"9000378659755"},{"@type":"NRID","@value":"9000241855056"},{"@type":"NRID","@value":"9000414561062"},{"@type":"RESEARCHMAP","@value":"https://researchmap.jp/h_gokon"}],"foaf:name":[{"@language":"en","@value":"Gokon Hideomi"}],"jpcoar:affiliationName":[{"@language":"en","@value":"Institute of Industrial Science, The University of Tokyo"}]},{"@id":"https://cir.nii.ac.jp/crid/1410845713069205376","@type":"Researcher","personIdentifier":[{"@type":"NRID","@value":"9000402250902"}],"foaf:name":[{"@language":"en","@value":"Meguro Kimiro"}],"jpcoar:affiliationName":[{"@language":"en","@value":"Institute of Industrial Science, The University of Tokyo"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"18812473"},{"@type":"EISSN","@value":"18838030"},{"@type":"NDL_BIB_ID","@value":"000008195934"},{"@type":"ISSN","@value":"18812473"},{"@type":"LISSN","@value":"18812473"}],"prism:publicationName":[{"@language":"ja","@value":"Journal of Disaster Research"},{"@language":"en","@value":"Journal of Disaster Research"},{"@language":"en","@value":"J. Disaster Res."}],"dc:publisher":[{"@language":"en","@value":"Fuji Technology Press Ltd."},{"@language":"ja","@value":"富士技術出版株式会社"}],"prism:publicationDate":"2019-03-28","prism:volume":"14","prism:number":"3","prism:startingPage":"456","prism:endingPage":"465"},"reviewed":"false","dcterms:accessRights":"http://purl.org/coar/access_right/c_abf2","url":[{"@id":"http://id.ndl.go.jp/bib/029614835"},{"@id":"https://ndlsearch.ndl.go.jp/books/R000000004-I029614835"},{"@id":"https://www.fujipress.jp/main/wp-content/themes/Fujipress/phyosetsu.php?ppno=DSSTR001400030004"}],"availableAt":"2019-03-28","foaf:topic":[{"@id":"https://cir.nii.ac.jp/all?q=synthetic%20aperture%20radar%20(SAR)","dc:title":"synthetic aperture radar (SAR)"},{"@id":"https://cir.nii.ac.jp/all?q=building%20damage%20assessment","dc:title":"building damage assessment"},{"@id":"https://cir.nii.ac.jp/all?q=incidence%20angle","dc:title":"incidence angle"},{"@id":"https://cir.nii.ac.jp/all?q=longtime%20interval","dc:title":"longtime interval"},{"@id":"https://cir.nii.ac.jp/all?q=random%20forest","dc:title":"random forest"}],"project":[{"@id":"https://cir.nii.ac.jp/crid/1040000781927150464","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"16K20988"},{"@type":"JGN","@value":"JP16K20988"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16K20988/"}],"notation":[{"@language":"ja","@value":"リモートセンシングの社会実装による災害レジリエンス向上についての研究"},{"@language":"en","@value":"Research on improvement of disaster resilience by implementing remote sensing to society"}]}],"relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1050295259255632384","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Use of a DNN-Based Image Translator with Edge Enhancement Technique to Estimate Correspondence between SAR and Optical Images"}]},{"@id":"https://cir.nii.ac.jp/crid/1360004236871177984","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Building Damage Assessment Using High‐Resolution Satellite SAR Images of the 2010 Haiti Earthquake"}]},{"@id":"https://cir.nii.ac.jp/crid/1360025429414526464","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Proposal of a flood damage road detection method based on deep learning and elevation data"}]},{"@id":"https://cir.nii.ac.jp/crid/1360292620576393984","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Building damage assessment in decimeter resolution SAR imagery: A future perspective"}]},{"@id":"https://cir.nii.ac.jp/crid/1360567185279240448","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"A Method for Detecting Buildings Destroyed by the 2011 Tohoku Earthquake and Tsunami Using Multitemporal TerraSAR-X Data"}]},{"@id":"https://cir.nii.ac.jp/crid/1360567186824833408","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Building Damage Assessment in the 2015 Gorkha, Nepal, Earthquake Using Only Post‐Event Dual Polarization Synthetic Aperture Radar Imagery"}]},{"@id":"https://cir.nii.ac.jp/crid/1360574096007508864","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Towards a damage assessment in a tsunami affected area using L-band and X-band SAR data"}]},{"@id":"https://cir.nii.ac.jp/crid/1360580229836180480","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Proposal of a Disrupted Road Detection Method in a Tsunami Event Using Deep Learning and Spatial Data"}]},{"@id":"https://cir.nii.ac.jp/crid/1360848661801498624","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Extraction of Tsunami‐Flooded Areas and Damaged Buildings in the 2011 Tohoku‐Oki Earthquake from TerraSAR‐X Intensity Images"}]},{"@id":"https://cir.nii.ac.jp/crid/1361137043717674624","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Signature Analysis of Building Damage With TerraSAR-X New Staring SpotLight Mode Data"}]},{"@id":"https://cir.nii.ac.jp/crid/1361137044110240640","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"COHERENT CHANGE DETECTION FOR REPEATED-PASS INTERFEROMETRIC SAR IMAGES: AN APPLICATION TO EARTHQUAKE DAMAGE ASSESSMENT ON BUILDINGS"}]},{"@id":"https://cir.nii.ac.jp/crid/1361418518737848448","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Digital Image Enhancement and Noise Filtering by Use of Local Statistics"}]},{"@id":"https://cir.nii.ac.jp/crid/1361418519009241216","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Building damage detection using satellite SAR intensity images for the 2003 Algeria and Iran earthquakes"}]},{"@id":"https://cir.nii.ac.jp/crid/1361699995143362304","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Urban Damage Level Mapping Based on Scattering Mechanism Investigation Using Fully Polarimetric SAR Data for the 3.11 East Japan Earthquake"}]},{"@id":"https://cir.nii.ac.jp/crid/1361699995251143680","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Integration of SAR image and vulnerability data for building damage degree estimation"}]},{"@id":"https://cir.nii.ac.jp/crid/1362262943625645568","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Building Damage Mapping of the 2003 Bam, Iran, Earthquake Using Envisat/ASAR Intensity Imagery"}]},{"@id":"https://cir.nii.ac.jp/crid/1363107369635122816","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Investigation of Damage in and Around Kathmandu Valley Related to the 2015 Gorkha, Nepal Earthquake and Beyond"}]},{"@id":"https://cir.nii.ac.jp/crid/1363951795052722176","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Monitoring soil moisture over the Canadian Prairies with the ERS scatterometer"}]},{"@id":"https://cir.nii.ac.jp/crid/1390001288085236992","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Machine Learning Based Building Damage Mapping from the ALOS-2/PALSAR-2 SAR Imagery: Case Study of 2016 Kumamoto Earthquake"},{"@value":"Machine Learning Based Building Damage Mapping from ALOS-2/PALSAR-2 SAR Imagery: Case Study of 2016 Kumamoto Earthquake"}]},{"@id":"https://cir.nii.ac.jp/crid/1390282763061951232","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Object-Based Building Damage Assessment Methodology Using Only Post Event ALOS-2/PALSAR-2 Dual Polarimetric SAR Intensity Images"}]},{"@id":"https://cir.nii.ac.jp/crid/1390564238038661376","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["references"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Verification of a Method for Estimating Building Damage in Extensive Tsunami Affected Areas Using L-Band SAR Data"}]},{"@id":"https://cir.nii.ac.jp/crid/2051714791863301120","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Detection of damaged urban areas using interferometric SAR coherence change with PALSAR-2"}]}],"dataSourceIdentifier":[{"@type":"JALC","@value":"oai:japanlinkcenter.org:2007144739"},{"@type":"NDL_SEARCH","@value":"oai:ndlsearch.ndl.go.jp:R000000004-I029614835"},{"@type":"CROSSREF","@value":"10.20965/jdr.2019.p0456"},{"@type":"CIA","@value":"130007626700"},{"@type":"KAKEN","@value":"PRODUCT-22492849"},{"@type":"OPENAIRE","@value":"doi_dedup___::8a58a4c522c7eb0f9c648925f9e1fce1"},{"@type":"CROSSREF","@value":"10.1080/19475705.2024.2375545_references_DOI_AXSv27Mm2PimXITwh5XZ8uNx20f"},{"@type":"CROSSREF","@value":"10.3390/app12094159_references_DOI_AXSv27Mm2PimXITwh5XZ8uNx20f"},{"@type":"CROSSREF","@value":"10.3390/su15042936_references_DOI_AXSv27Mm2PimXITwh5XZ8uNx20f"}]}