{"id":"https://openalex.org/W2118698245","doi":"https://doi.org/10.1109/lgrs.2008.2007753","title":"Statistical, Structural, Hybrid, and Graph Theoretical Features to Measure Land Development","display_name":"Statistical, Structural, Hybrid, and Graph Theoretical Features to Measure Land Development","publication_year":2008,"publication_date":"2008-12-08","ids":{"openalex":"https://openalex.org/W2118698245","doi":"https://doi.org/10.1109/lgrs.2008.2007753","mag":"2118698245"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2008.2007753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2008.2007753","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5076303551","display_name":"Cem \u00dcnsalan","orcid":"https://orcid.org/0000-0002-8904-3730"},"institutions":[{"id":"https://openalex.org/I100072489","display_name":"Yeditepe University","ror":"https://ror.org/025mx2575","country_code":"TR","type":"education","lineage":["https://openalex.org/I100072489"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Cem Unsalan","raw_affiliation_strings":["Computer Vision Research Laboratory, Department of Electrical and Electronics Engineering, Yeditepe University, Istanbul, Turkey","Dept. of Electr. & Electron. Eng, Yeditepe Univ., Istanbul"],"affiliations":[{"raw_affiliation_string":"Computer Vision Research Laboratory, Department of Electrical and Electronics Engineering, Yeditepe University, Istanbul, Turkey","institution_ids":["https://openalex.org/I100072489"]},{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng, Yeditepe Univ., Istanbul","institution_ids":["https://openalex.org/I100072489"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076303551"],"corresponding_institution_ids":["https://openalex.org/I100072489"],"apc_list":null,"apc_paid":null,"fwci":0.5987,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73389806,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":"1","first_page":"72","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994000196456909,"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":0.9994000196456909,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9901999831199646,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7514562010765076},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6007182598114014},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5957966446876526},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5834629535675049},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.5622938871383667},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5089166164398193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4812335968017578},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4750383198261261},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44857653975486755},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4148937463760376},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.24366158246994019},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18523839116096497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1555245816707611}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7514562010765076},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6007182598114014},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5957966446876526},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5834629535675049},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.5622938871383667},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5089166164398193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4812335968017578},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4750383198261261},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44857653975486755},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4148937463760376},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.24366158246994019},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18523839116096497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1555245816707611},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2008.2007753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2008.2007753","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W247104752","https://openalex.org/W1971025369","https://openalex.org/W2003370853","https://openalex.org/W2103192805","https://openalex.org/W2103539432","https://openalex.org/W2108597246","https://openalex.org/W2112959383","https://openalex.org/W2115451191","https://openalex.org/W2120533946","https://openalex.org/W2130319358","https://openalex.org/W2150262608","https://openalex.org/W2153409933","https://openalex.org/W2169380231","https://openalex.org/W2170140722","https://openalex.org/W2171978739","https://openalex.org/W2603283561","https://openalex.org/W3099514962","https://openalex.org/W3145074154","https://openalex.org/W4247714388"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2058127401","https://openalex.org/W2039041387"],"abstract_inverted_index":{"Extracting":[0],"information":[1,41],"on":[2,72,83],"a":[3,16,32,84],"developing":[4],"region":[5],"from":[6,42],"its":[7],"sequential":[8],"satellite":[9,44],"images":[10],"has":[11],"many":[12],"benefits.":[13],"Therefore,":[14],"in":[15,31,92],"previous":[17],"study,":[18],"we":[19,36,49],"introduced":[20],"graph":[21,59],"theoretical":[22,60],"and":[23,58,88],"conditional":[24],"statistical":[25],"features":[26,61,70,82],"to":[27],"measure":[28],"land":[29,94],"development":[30],"predefined":[33],"region.":[34],"There,":[35],"only":[37],"used":[38],"the":[39,43],"grayscale":[40],"image":[45],"at":[46],"hand.":[47],"Here,":[48],"extend":[50],"that":[51],"work":[52],"by":[53],"introducing":[54],"novel":[55,68],"statistical,":[56],"hybrid,":[57],"using":[62],"multispectral":[63],"information.":[64],"We":[65,78],"also":[66],"introduce":[67],"structural":[69],"based":[71],"three":[73],"different":[74],"structure":[75],"extraction":[76],"methods.":[77],"test":[79],"our":[80],"new":[81],"diverse":[85],"data":[86],"set":[87],"report":[89],"their":[90],"performances":[91],"measuring":[93],"development.":[95]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
