{"id":"https://openalex.org/W2987514407","doi":"https://doi.org/10.1109/igarss.2019.8900637","title":"Change Detection between High-Resolution Airborne SAR and Multispectral Data with Dempster-Shafer Theory","display_name":"Change Detection between High-Resolution Airborne SAR and Multispectral Data with Dempster-Shafer Theory","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2987514407","doi":"https://doi.org/10.1109/igarss.2019.8900637","mag":"2987514407"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8900637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027253497","display_name":"Julian Fagir","orcid":null},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Julian Fagir","raw_affiliation_strings":["Remote Sensing Laboratories (RSL), University of Zurich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Laboratories (RSL), University of Zurich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026476742","display_name":"Max Frioud","orcid":null},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Max Frioud","raw_affiliation_strings":["Remote Sensing Laboratories (RSL), University of Zurich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Laboratories (RSL), University of Zurich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031353998","display_name":"Daniel Henke","orcid":"https://orcid.org/0000-0002-9649-0205"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Daniel Henke","raw_affiliation_strings":["Remote Sensing Laboratories (RSL), University of Zurich, Z\u00fcrich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Remote Sensing Laboratories (RSL), University of Zurich, Z\u00fcrich, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027253497"],"corresponding_institution_ids":["https://openalex.org/I202697423"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19512899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"1526","last_page":"1529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9524000287055969,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9373000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.8442010283470154},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.7562463283538818},{"id":"https://openalex.org/keywords/dempster\u2013shafer-theory","display_name":"Dempster\u2013Shafer theory","score":0.749793529510498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7058190703392029},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6499530076980591},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.638386070728302},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5487986207008362},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5431439280509949},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4954289197921753},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4741087555885315},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4608869254589081},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4345918297767639},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34874218702316284},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13800755143165588}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.8442010283470154},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.7562463283538818},{"id":"https://openalex.org/C178011137","wikidata":"https://www.wikidata.org/wiki/Q285997","display_name":"Dempster\u2013Shafer theory","level":2,"score":0.749793529510498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7058190703392029},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6499530076980591},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.638386070728302},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5487986207008362},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5431439280509949},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4954289197921753},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4741087555885315},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4608869254589081},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4345918297767639},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34874218702316284},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13800755143165588}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8900637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8900637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W2054743696","https://openalex.org/W2113891352","https://openalex.org/W2118246710","https://openalex.org/W2123905752","https://openalex.org/W2159160074","https://openalex.org/W2167865861","https://openalex.org/W2273296694","https://openalex.org/W2403746960","https://openalex.org/W2592506603","https://openalex.org/W2750976776","https://openalex.org/W2797148637","https://openalex.org/W2901548907","https://openalex.org/W4301347335","https://openalex.org/W6684710387","https://openalex.org/W6693961773"],"related_works":["https://openalex.org/W3005969065","https://openalex.org/W2031512949","https://openalex.org/W2067330150","https://openalex.org/W2375966783","https://openalex.org/W2377368844","https://openalex.org/W2360003067","https://openalex.org/W1971957814","https://openalex.org/W2113463819","https://openalex.org/W2363160655","https://openalex.org/W4200472336"],"abstract_inverted_index":{"Change":[0],"detection":[1,45,88],"from":[2,15,49,62],"multi-sensoral":[3],"SAR-MS":[4],"datasets":[5,82],"is":[6,83,107],"useful":[7],"for":[8,19,38],"improving":[9],"the":[10,21,66,80,111],"performance":[11],"by":[12,57,85],"adding":[13],"data":[14,48],"another":[16],"modality":[17],"or":[18],"increasing":[20],"number":[22],"of":[23,46,79],"available":[24],"times.":[25],"Few":[26],"methods":[27],"with":[28,104],"two":[29,81],"modalities":[30],"have":[31],"been":[32],"investigated":[33],"though,":[34],"and":[35,70,95],"often":[36],"only":[37],"low-resolution":[39],"data.":[40],"Here,":[41],"we":[42],"approach":[43],"change":[44,87],"decimeter-resolution":[47],"an":[50],"airborne":[51],"platform.":[52],"Geometric":[53],"differences":[54],"are":[55],"mitigated":[56],"generating":[58],"a":[59,86],"point":[60],"cloud":[61],"optical":[63],"images,":[64],"focusing":[65],"SAR":[67],"on":[68,90],"it":[69],"projecting":[71],"this":[72],"into":[73],"camera":[74],"view.":[75],"A":[76],"joint":[77],"segmentation":[78],"followed":[84],"based":[89],"Iterated":[91],"Conditional":[92],"Modes":[93],"(ICM)":[94],"Dempster-Shafer":[96],"theory":[97],"(DS)":[98],"to":[99,109],"mark":[100],"changes.":[101],"An":[102],"experiment":[103],"moving":[105],"cars":[106],"conducted":[108],"confirm":[110],"method's":[112],"applicability.":[113]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}