{"id":"https://openalex.org/W2767138594","doi":"https://doi.org/10.1007/978-3-319-68124-5_8","title":"Super Resolution Mapping of Trees for Urban Forest Monitoring in Madurai City Using Remote Sensing","display_name":"Super Resolution Mapping of Trees for Urban Forest Monitoring in Madurai City Using Remote Sensing","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2767138594","doi":"https://doi.org/10.1007/978-3-319-68124-5_8","mag":"2767138594"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-68124-5_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-68124-5_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5072073947","display_name":"D. Synthiya Vinothini","orcid":"https://orcid.org/0000-0003-4474-133X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"D. Synthiya Vinothini","raw_affiliation_strings":["Thiagarajar College of Engineering, Madurai, India"],"affiliations":[{"raw_affiliation_string":"Thiagarajar College of Engineering, Madurai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077260266","display_name":"B. Sathya Bama","orcid":"https://orcid.org/0000-0003-2670-4340"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B. Sathyabama","raw_affiliation_strings":["Thiagarajar College of Engineering, Madurai, India"],"affiliations":[{"raw_affiliation_string":"Thiagarajar College of Engineering, Madurai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056330471","display_name":"S. Karthikeyan","orcid":"https://orcid.org/0000-0003-1231-9118"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Karthikeyan","raw_affiliation_strings":["Thiagarajar College of Engineering, Madurai, India"],"affiliations":[{"raw_affiliation_string":"Thiagarajar College of Engineering, Madurai, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072073947"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14510779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"88","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994999766349792,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9957000017166138,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.8357229232788086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6985993981361389},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5789703726768494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5692548155784607},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5609461069107056},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.4593397378921509},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43612876534461975},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42952659726142883},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4232054352760315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4197673499584198},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2820957601070404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2011910378932953},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.17179346084594727},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.17108634114265442}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8357229232788086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6985993981361389},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5789703726768494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5692548155784607},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5609461069107056},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.4593397378921509},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43612876534461975},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42952659726142883},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4232054352760315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4197673499584198},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2820957601070404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2011910378932953},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.17179346084594727},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.17108634114265442},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-68124-5_8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-68124-5_8","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W174812315","https://openalex.org/W1506679410","https://openalex.org/W1995450389","https://openalex.org/W2061421991","https://openalex.org/W2091280333","https://openalex.org/W2133464463","https://openalex.org/W2134337515","https://openalex.org/W2154905357","https://openalex.org/W2170537018","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2088899772","https://openalex.org/W4289655544","https://openalex.org/W2044092692","https://openalex.org/W2547665164","https://openalex.org/W3103111272","https://openalex.org/W2615806692","https://openalex.org/W2080965330","https://openalex.org/W2547534968"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}