{"id":"https://openalex.org/W3087810633","doi":"https://doi.org/10.3390/rs12183096","title":"Unsupervised Parameterization for Optimal Segmentation of Agricultural Parcels from Satellite Images in Different Agricultural Landscapes","display_name":"Unsupervised Parameterization for Optimal Segmentation of Agricultural Parcels from Satellite Images in Different Agricultural Landscapes","publication_year":2020,"publication_date":"2020-09-21","ids":{"openalex":"https://openalex.org/W3087810633","doi":"https://doi.org/10.3390/rs12183096","mag":"3087810633"},"language":"en","primary_location":{"id":"doi:10.3390/rs12183096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12183096","pdf_url":"https://www.mdpi.com/2072-4292/12/18/3096/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/18/3096/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031302554","display_name":"Gideon Okpoti Tetteh","orcid":"https://orcid.org/0000-0001-5430-5967"},"institutions":[{"id":"https://openalex.org/I4210093792","display_name":"Johann Heinrich von Th\u00fcnen-Institut","ror":"https://ror.org/00mr84n67","country_code":"DE","type":"government","lineage":["https://openalex.org/I2801963157","https://openalex.org/I4210093792"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Gideon Okpoti Tetteh","raw_affiliation_strings":["Th\u00fcnen Institute of Farm Economics, Bundesallee 63, 38116 Braunschweig, Germany"],"raw_orcid":"https://orcid.org/0000-0001-5430-5967","affiliations":[{"raw_affiliation_string":"Th\u00fcnen Institute of Farm Economics, Bundesallee 63, 38116 Braunschweig, Germany","institution_ids":["https://openalex.org/I4210093792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039552894","display_name":"Alexander Gocht","orcid":"https://orcid.org/0000-0002-8913-1538"},"institutions":[{"id":"https://openalex.org/I4210093792","display_name":"Johann Heinrich von Th\u00fcnen-Institut","ror":"https://ror.org/00mr84n67","country_code":"DE","type":"government","lineage":["https://openalex.org/I2801963157","https://openalex.org/I4210093792"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Gocht","raw_affiliation_strings":["Th\u00fcnen Institute of Farm Economics, Bundesallee 63, 38116 Braunschweig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Th\u00fcnen Institute of Farm Economics, Bundesallee 63, 38116 Braunschweig, Germany","institution_ids":["https://openalex.org/I4210093792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083619097","display_name":"Marcel Schwieder","orcid":"https://orcid.org/0000-0003-2103-8828"},"institutions":[{"id":"https://openalex.org/I39343248","display_name":"Humboldt-Universit\u00e4t zu Berlin","ror":"https://ror.org/01hcx6992","country_code":"DE","type":"education","lineage":["https://openalex.org/I39343248"]},{"id":"https://openalex.org/I4210093792","display_name":"Johann Heinrich von Th\u00fcnen-Institut","ror":"https://ror.org/00mr84n67","country_code":"DE","type":"government","lineage":["https://openalex.org/I2801963157","https://openalex.org/I4210093792"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcel Schwieder","raw_affiliation_strings":["Geography Department, Humboldt-Universit\u00e4t zu Berlin, Unter den Linden 6, D-10099 Berlin, Germany","Th\u00fcnen Institute of Farm Economics, Bundesallee 63, 38116 Braunschweig, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geography Department, Humboldt-Universit\u00e4t zu Berlin, Unter den Linden 6, D-10099 Berlin, Germany","institution_ids":["https://openalex.org/I39343248"]},{"raw_affiliation_string":"Th\u00fcnen Institute of Farm Economics, Bundesallee 63, 38116 Braunschweig, Germany","institution_ids":["https://openalex.org/I4210093792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037555592","display_name":"Stefan Erasmi","orcid":"https://orcid.org/0000-0002-6393-6071"},"institutions":[{"id":"https://openalex.org/I4210093792","display_name":"Johann Heinrich von Th\u00fcnen-Institut","ror":"https://ror.org/00mr84n67","country_code":"DE","type":"government","lineage":["https://openalex.org/I2801963157","https://openalex.org/I4210093792"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stefan Erasmi","raw_affiliation_strings":["Th\u00fcnen Institute of Farm Economics, Bundesallee 63, 38116 Braunschweig, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6393-6071","affiliations":[{"raw_affiliation_string":"Th\u00fcnen Institute of Farm Economics, Bundesallee 63, 38116 Braunschweig, Germany","institution_ids":["https://openalex.org/I4210093792"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047627769","display_name":"Christopher Conrad","orcid":"https://orcid.org/0000-0002-0807-7059"},"institutions":[{"id":"https://openalex.org/I68956291","display_name":"Martin Luther University Halle-Wittenberg","ror":"https://ror.org/05gqaka33","country_code":"DE","type":"education","lineage":["https://openalex.org/I68956291"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christopher Conrad","raw_affiliation_strings":["Institute of Geosciences and Geography, Martin-Luther-University Halle-Wittenberg, 06099 Halle, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0807-7059","affiliations":[{"raw_affiliation_string":"Institute of Geosciences and Geography, Martin-Luther-University Halle-Wittenberg, 06099 Halle, Germany","institution_ids":["https://openalex.org/I68956291"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031302554"],"corresponding_institution_ids":["https://openalex.org/I4210093792"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.8217,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.74624702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"12","issue":"18","first_page":"3096","last_page":"3096"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T13058","display_name":"Soil and Land Suitability Analysis","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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/metric","display_name":"Metric (unit)","score":0.7925596237182617},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7630705833435059},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.588310182094574},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5655841827392578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5414782166481018},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5173429846763611},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5035998225212097},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.48908764123916626},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.4121585786342621},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3216222822666168},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10676237940788269}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7925596237182617},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7630705833435059},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.588310182094574},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5655841827392578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5414782166481018},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5173429846763611},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5035998225212097},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.48908764123916626},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.4121585786342621},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3216222822666168},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10676237940788269},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs12183096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12183096","pdf_url":"https://www.mdpi.com/2072-4292/12/18/3096/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:16a85ae9011a4aa29fbdeda140c168ed","is_oa":true,"landing_page_url":"https://doaj.org/article/16a85ae9011a4aa29fbdeda140c168ed","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 12, Iss 18, p 3096 (2020)","raw_type":"article"},{"id":"pmh:oai:edoc.hu-berlin.de:18452/25560","is_oa":true,"landing_page_url":"http://edoc.hu-berlin.de/18452/25560","pdf_url":null,"source":{"id":"https://openalex.org/S4306400923","display_name":"edoc Publication server (Humboldt University of Berlin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39343248","host_organization_name":"Humboldt-Universit\u00e4t zu Berlin","host_organization_lineage":["https://openalex.org/I39343248"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/18/3096/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12183096","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 12; Issue 18; Pages: 3096","raw_type":"Text"},{"id":"doi:10.18452/24878","is_oa":true,"landing_page_url":"https://doi.org/10.18452/24878","pdf_url":null,"source":{"id":"https://openalex.org/S4306400923","display_name":"edoc Publication server (Humboldt University of Berlin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39343248","host_organization_name":"Humboldt-Universit\u00e4t zu Berlin","host_organization_lineage":["https://openalex.org/I39343248"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs12183096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12183096","pdf_url":"https://www.mdpi.com/2072-4292/12/18/3096/pdf","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3087810633.pdf"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W29643851","https://openalex.org/W1499398455","https://openalex.org/W1510052597","https://openalex.org/W1964262728","https://openalex.org/W1967769689","https://openalex.org/W1973724465","https://openalex.org/W1979432452","https://openalex.org/W1984792953","https://openalex.org/W1985154454","https://openalex.org/W1986738039","https://openalex.org/W1987971958","https://openalex.org/W1991129553","https://openalex.org/W1993763771","https://openalex.org/W1995280601","https://openalex.org/W2000179198","https://openalex.org/W2002568643","https://openalex.org/W2008043556","https://openalex.org/W2032667441","https://openalex.org/W2052611179","https://openalex.org/W2058132610","https://openalex.org/W2061240006","https://openalex.org/W2065211417","https://openalex.org/W2074112114","https://openalex.org/W2075349112","https://openalex.org/W2076198115","https://openalex.org/W2089716607","https://openalex.org/W2092572597","https://openalex.org/W2095028777","https://openalex.org/W2105058098","https://openalex.org/W2110262553","https://openalex.org/W2122282653","https://openalex.org/W2126902408","https://openalex.org/W2127348003","https://openalex.org/W2142710676","https://openalex.org/W2152334070","https://openalex.org/W2167594433","https://openalex.org/W2192203593","https://openalex.org/W2325171775","https://openalex.org/W2335798593","https://openalex.org/W2586954532","https://openalex.org/W2612541393","https://openalex.org/W2648242067","https://openalex.org/W2739136309","https://openalex.org/W2740978266","https://openalex.org/W2788713138","https://openalex.org/W2891834831","https://openalex.org/W2898870395","https://openalex.org/W2920560278","https://openalex.org/W2981849677","https://openalex.org/W3080107473","https://openalex.org/W3167314521","https://openalex.org/W4211049957","https://openalex.org/W4238746485","https://openalex.org/W6678979910","https://openalex.org/W6703238135","https://openalex.org/W6737823158","https://openalex.org/W6796359398"],"related_works":["https://openalex.org/W1482441085","https://openalex.org/W2966858528","https://openalex.org/W2151687600","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W2022929107","https://openalex.org/W2055202857"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,30,81,172,222],"is":[2,68,265,272],"a":[3,63,80,89,164],"cost-effective":[4],"way":[5],"to":[6,33,96,120,152,213,228,255],"obtain":[7,23],"information":[8],"about":[9],"the":[10,26,29,73,98,106,115,146,154,159,170,182,195,214,220,238],"sizes":[11],"and":[12,76,87,142,186],"structural":[13],"composition":[14],"of":[15,28,158,167,174,219],"agricultural":[16,123,168,200],"parcels":[17,124],"in":[18,43,109,128,198,225,259],"an":[19,56,253,268],"area.":[20],"To":[21],"accurately":[22],"such":[24],"information,":[25],"parameters":[27,157],"algorithm":[31,119],"ought":[32],"be":[34,250],"optimized":[35],"using":[36],"supervised":[37,234,256],"or":[38,267],"unsupervised":[39,48,58,239],"methods.":[40],"The":[41,132,202],"difficulty":[42],"obtaining":[44],"reference":[45,165,263],"data":[46,166,264],"makes":[47],"methods":[49],"indispensable.":[50],"In":[51],"this":[52,85,102,226],"study,":[53],"we":[54],"evaluated":[55,179],"existing":[57,107,196,215,229],"evaluation":[59,270],"metric":[60,86,91,104,108,193,197,204,247],"that":[61,92,208,237],"minimizes":[62],"global":[64],"score":[65],"(GS),":[66],"which":[67],"computed":[69],"by":[70,180],"summing":[71],"up":[72],"intra-segment":[74],"uniformity":[75],"inter-segment":[77],"dissimilarity":[78],"within":[79],"output.":[82],"We":[83,100],"modified":[84],"proposed":[88,103,192,203,246],"new":[90],"uses":[93,149],"absolute":[94],"difference":[95],"compute":[97],"GS.":[99],"compared":[101,212],"with":[105],"two":[110],"optimization":[111,151,176,235,241],"approaches":[112],"based":[113,243],"on":[114,163,244],"Multiresolution":[116],"Segmentation":[117],"(MRS)":[118],"optimally":[121],"delineate":[122],"from":[125],"Sentinel-2":[126],"images":[127],"Lower":[129],"Saxony,":[130],"Germany.":[131],"first":[133],"approach":[134,148,177,242],"searches":[135],"for":[136],"optimal":[137,171,206,221],"scale":[138],"while":[139,145],"keeping":[140],"shape":[141],"compactness":[143],"constant,":[144],"second":[147],"Bayesian":[150,240],"optimize":[153],"three":[155],"main":[156],"MRS":[160],"algorithm.":[161],"Based":[162],"parcels,":[169],"result":[173],"each":[175],"was":[178],"calculating":[181],"quality":[183],"rate,":[184],"over-segmentation,":[185],"under-segmentation.":[187],"For":[188],"both":[189],"approaches,":[190],"our":[191,245],"outperformed":[194],"different":[199],"landscapes.":[201],"identified":[205],"segmentations":[207],"were":[209],"less":[210],"under-segmented":[211],"metric.":[216],"A":[217],"comparison":[218],"results":[223,231],"obtained":[224],"study":[227],"benchmark":[230],"generated":[232],"via":[233],"showed":[236],"can":[248],"potentially":[249],"used":[251],"as":[252],"alternative":[254],"optimization,":[257],"particularly":[258],"geographic":[260],"regions":[261],"where":[262],"unavailable":[266],"automated":[269],"system":[271],"sought.":[273]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-22T06:13:13.366637","created_date":"2025-10-10T00:00:00"}
