{"id":"https://openalex.org/W2546748626","doi":"https://doi.org/10.1109/igarss.2016.7730329","title":"Integration of region growing and morphological analysis with super-resolution land cover mapping","display_name":"Integration of region growing and morphological analysis with super-resolution land cover mapping","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2546748626","doi":"https://doi.org/10.1109/igarss.2016.7730329","mag":"2546748626"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7730329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5074394512","display_name":"Huiran Jin","orcid":"https://orcid.org/0000-0002-5572-0860"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huiran Jin","raw_affiliation_strings":["Department of Geographical Sciences, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geographical Sciences, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100742536","display_name":"Peijun Li","orcid":"https://orcid.org/0000-0002-4989-9892"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peijun Li","raw_affiliation_strings":["Institute of Remote Sensing and GIS, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Remote Sensing and GIS, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60795761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5099","last_page":"5102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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":0.9973000288009644,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/thematic-map","display_name":"Thematic map","score":0.8657913208007812},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.7950900793075562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5957351326942444},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.595465898513794},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5860183238983154},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.5676915645599365},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4682743549346924},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.46542495489120483},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45807620882987976},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.411325603723526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40062227845191956},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3857067823410034},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.35862720012664795},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35552293062210083},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.3249177932739258},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3016641139984131},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2867817282676697},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.17471876740455627},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10979127883911133}],"concepts":[{"id":"https://openalex.org/C93692415","wikidata":"https://www.wikidata.org/wiki/Q1502030","display_name":"Thematic map","level":2,"score":0.8657913208007812},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.7950900793075562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5957351326942444},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.595465898513794},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5860183238983154},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.5676915645599365},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4682743549346924},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.46542495489120483},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45807620882987976},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.411325603723526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40062227845191956},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3857067823410034},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.35862720012664795},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35552293062210083},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.3249177932739258},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3016641139984131},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2867817282676697},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.17471876740455627},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10979127883911133},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7730329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7730329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1561442812","https://openalex.org/W1979149796","https://openalex.org/W2096579040","https://openalex.org/W2108597246","https://openalex.org/W2156248183","https://openalex.org/W3100816363","https://openalex.org/W4253856589"],"related_works":["https://openalex.org/W2291311298","https://openalex.org/W2378021067","https://openalex.org/W2347703439","https://openalex.org/W2365305234","https://openalex.org/W2132503437","https://openalex.org/W2041406494","https://openalex.org/W2163448995","https://openalex.org/W2615806692","https://openalex.org/W2080965330","https://openalex.org/W2547534968"],"abstract_inverted_index":{"Converting":[0],"probability":[1,45],"maps":[2,46],"derived":[3,93],"from":[4,94],"indicator":[5],"cokriging":[6],"(ICK)":[7],"to":[8,49,90],"a":[9,105],"specific":[10],"land":[11],"cover":[12],"classification":[13],"map":[14,71,92],"is":[15],"the":[16,24,43,69,74,91,95],"second":[17],"step":[18],"of":[19],"super-resolution":[20],"mapping":[21],"(SRM)":[22],"under":[23],"geostatistical":[25],"framework.":[26],"In":[27],"this":[28],"study,":[29],"two":[30],"image":[31],"segmentation":[32],"strategies,":[33],"namely":[34],"mathematical":[35],"morphology":[36],"and":[37,58,84],"region":[38],"growing,":[39],"were":[40],"applied":[41],"on":[42],"ICK-derived":[44],"in":[47,63],"order":[48],"take":[50],"into":[51,112],"account":[52],"spatial":[53],"characteristics":[54],"such":[55],"as":[56,104],"shape":[57],"connectivity.":[59],"A":[60],"case":[61],"study":[62],"South":[64],"Carolina":[65],"(USA)":[66],"showed":[67],"that":[68,108],"thematic":[70],"created":[72],"by":[73,82,87],"proposed":[75],"method":[76],"had":[77],"an":[78],"overall":[79],"accuracy":[80],"improved":[81,86],"2%":[83],"Kappa":[85],"6%":[88],"compared":[89],"existing":[96],"sequential":[97],"generation":[98],"process.":[99],"This":[100],"indicates":[101],"our":[102],"methodology":[103],"promising":[106],"alternative":[107],"can":[109],"be":[110],"embedded":[111],"SRM":[113],"tasks.":[114]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
