{"id":"https://openalex.org/W2755384497","doi":"https://doi.org/10.1109/multi-temp.2017.8035211","title":"Image representation alternatives for the analysis of satellite image time series","display_name":"Image representation alternatives for the analysis of satellite image time series","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2755384497","doi":"https://doi.org/10.1109/multi-temp.2017.8035211","mag":"2755384497"},"language":"en","primary_location":{"id":"doi:10.1109/multi-temp.2017.8035211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2017.8035211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5032852455","display_name":"Corneliu Octavian Dumitru","orcid":"https://orcid.org/0000-0001-5707-1799"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Corneliu Octavian Dumitru","raw_affiliation_strings":["Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010440425","display_name":"Gottfried Schwarz","orcid":"https://orcid.org/0000-0003-0918-7898"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gottfried Schwarz","raw_affiliation_strings":["Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032370631","display_name":"Mihai Datcu","orcid":"https://orcid.org/0000-0002-3477-9687"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mihai Datcu","raw_affiliation_strings":["Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Remote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, Germany","institution_ids":["https://openalex.org/I2898391981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2898391981"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9786999821662903,"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":0.9786999821662903,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9544000029563904,"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/computer-science","display_name":"Computer science","score":0.7661799192428589},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5866438150405884},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5195358395576477},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5063616037368774},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5041495561599731},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5011091232299805},{"id":"https://openalex.org/keywords/thematic-map","display_name":"Thematic map","score":0.496507465839386},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.45998615026474},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4583558142185211},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4437181353569031},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4307807385921478},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.43023431301116943},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42059123516082764},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34694957733154297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1005106270313263}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7661799192428589},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5866438150405884},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5195358395576477},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5063616037368774},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5041495561599731},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5011091232299805},{"id":"https://openalex.org/C93692415","wikidata":"https://www.wikidata.org/wiki/Q1502030","display_name":"Thematic map","level":2,"score":0.496507465839386},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.45998615026474},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4583558142185211},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4437181353569031},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4307807385921478},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.43023431301116943},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42059123516082764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34694957733154297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1005106270313263},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/multi-temp.2017.8035211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/multi-temp.2017.8035211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)","raw_type":"proceedings-article"},{"id":"pmh:oai:elib.dlr.de:115219","is_oa":false,"landing_page_url":"https://doi.org/10.1109/Multi-Temp.2017.8035211>.","pdf_url":null,"source":{"id":"https://openalex.org/S4377196266","display_name":"elib (German Aerospace Center)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2898391981","host_organization_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","host_organization_lineage":["https://openalex.org/I2898391981"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Konferenzbeitrag"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6299999952316284,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W1920104210","https://openalex.org/W2022532809","https://openalex.org/W2073557309","https://openalex.org/W2095489390","https://openalex.org/W2104289594","https://openalex.org/W2314745469","https://openalex.org/W2418871377","https://openalex.org/W2949601285","https://openalex.org/W2963659230","https://openalex.org/W6730370019","https://openalex.org/W6763811429"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W154868527","https://openalex.org/W1494268238","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938","https://openalex.org/W2361303071","https://openalex.org/W2170857288"],"abstract_inverted_index":{"Current":[0],"satellite":[1],"images":[2,29,71],"and":[3,25,38,41,51,77,109,146,149,175,207,219,225,243,247],"image":[4,55,98,204,233,249],"time":[5,56,234],"series":[6,57,235],"provide":[7,58],"us":[8,31],"with":[9,90],"detailed":[10],"information":[11,60],"about":[12,21,35,61],"the":[13,62,169,172,216,220,239],"state":[14],"of":[15,64,118,168,171,176,192,222],"our":[16,22,70],"planet":[17],"as":[18,20,159,181],"well":[19],"technical":[23],"infrastructure":[24],"human":[26,133],"activities.":[27],"These":[28],"allow":[30],"to":[32,74,88,114,141,231,245],"learn":[33],"more":[34],"local,":[36],"regional,":[37],"global":[39],"phenomena":[40],"events,":[42],"including":[43],"-":[44,48],"if":[45,101],"interpreted":[46],"properly":[47],"their":[49,147],"causes":[50],"effects.":[52],"In":[53],"particular,":[54],"specific":[59],"dynamics":[63,186],"many":[65],"processes":[66],"implicitly":[67],"contained":[68],"in":[69,79,112],"that":[72,163,227],"need":[73],"be":[75,129,157],"unearthed":[76],"investigated":[78],"detail.":[80],"A":[81],"traditional":[82,194],"approach":[83,201],"towards":[84],"this":[85,193,213],"aim":[86],"is":[87,215],"start":[89],"pixel-level":[91],"or":[92,135,184],"patch-level":[93],"data":[94,179],"analysis":[95],"for":[96,202,212],"pixel-based":[97],"analysis,":[99],"followed,":[100],"necessary,":[102],"by":[103,131,136],"subsequent":[104],"feature":[105],"extraction,":[106],"clustering,":[107],"classification":[108,126],"semantic":[110,223],"labelling":[111],"order":[113],"generate":[115],"various":[116],"types":[117],"change":[119],"maps":[120,183],"on":[121],"different":[122],"representation":[123],"levels.":[124],"The":[125,152,210],"step":[127],"can":[128,155,229],"supported":[130],"interactive":[132],"intervention,":[134],"automated":[137,200],"machine":[138],"learning":[139],"strategies":[140],"identify":[142],"higher":[143],"level":[144],"objects":[145],"spatial":[148],"temporal":[150],"relationships.":[151],"detected":[153],"relationships":[154,224],"then":[156],"formulated":[158],"parameterized":[160],"rule":[161],"sets":[162,167],"create":[164],"higher-level":[165],"descriptor":[166],"content":[170,205,250],"selected":[173],"images,":[174],"additional":[177,217],"external":[178],"such":[180],"thematic":[182],"typical":[185],"descriptions.":[187],"As":[188],"an":[189,232],"innovative":[190],"extension":[191],"concept,":[195],"we":[196,228,237],"propose":[197],"a":[198],"highly":[199],"application-adapted":[203],"exploration":[206],"knowledge":[208,252],"extraction.":[209],"reason":[211],"strategy":[214],"amount":[218],"precision":[221],"details":[226],"assign":[230],"once":[236],"know":[238],"final":[240],"application":[241],"field":[242],"how":[244],"embed":[246],"access":[248],"within":[251],"graphs.":[253]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}