{"id":"https://openalex.org/W2050166462","doi":"https://doi.org/10.1109/jstars.2014.2313572","title":"Comparative Assessment of Supervised Classifiers for Land Use\u2013Land Cover Classification in a Tropical Region Using Time-Series PALSAR Mosaic Data","display_name":"Comparative Assessment of Supervised Classifiers for Land Use\u2013Land Cover Classification in a Tropical Region Using Time-Series PALSAR Mosaic Data","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2050166462","doi":"https://doi.org/10.1109/jstars.2014.2313572","mag":"2050166462"},"language":"en","primary_location":{"id":"doi:10.1109/jstars.2014.2313572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2313572","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5101272482","display_name":"Tomohiro Shiraishi","orcid":null},"institutions":[{"id":"https://openalex.org/I2800865746","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomohiro Shiraishi","raw_affiliation_strings":["Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center, Tsukuba, Japan","Earth Obs. Res. Center, Japan Aerosp. Exploration Agency (JAXA), Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center, Tsukuba, Japan","institution_ids":["https://openalex.org/I2800865746"]},{"raw_affiliation_string":"Earth Obs. Res. Center, Japan Aerosp. Exploration Agency (JAXA), Tsukuba, Japan","institution_ids":["https://openalex.org/I2800865746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031654867","display_name":"Takeshi Motohka","orcid":"https://orcid.org/0000-0001-7977-732X"},"institutions":[{"id":"https://openalex.org/I2800865746","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeshi Motohka","raw_affiliation_strings":["Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center, Tsukuba, Japan","Earth Obs. Res. Center, Japan Aerosp. Exploration Agency (JAXA), Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center, Tsukuba, Japan","institution_ids":["https://openalex.org/I2800865746"]},{"raw_affiliation_string":"Earth Obs. Res. Center, Japan Aerosp. Exploration Agency (JAXA), Tsukuba, Japan","institution_ids":["https://openalex.org/I2800865746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041377798","display_name":"Rajesh Bahadur Thapa","orcid":"https://orcid.org/0000-0003-4467-0148"},"institutions":[{"id":"https://openalex.org/I2800865746","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Rajesh Bahadur Thapa","raw_affiliation_strings":["Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center, Tsukuba, Japan","Earth Obs. Res. Center, Japan Aerosp. Exploration Agency (JAXA), Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center, Tsukuba, Japan","institution_ids":["https://openalex.org/I2800865746"]},{"raw_affiliation_string":"Earth Obs. Res. Center, Japan Aerosp. Exploration Agency (JAXA), Tsukuba, Japan","institution_ids":["https://openalex.org/I2800865746"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101986414","display_name":"Manabu Watanabe","orcid":"https://orcid.org/0000-0002-1130-9420"},"institutions":[{"id":"https://openalex.org/I2800865746","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Manabu Watanabe","raw_affiliation_strings":["Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center, Tsukuba, Japan","Earth Obs. Res. Center, Japan Aerosp. Exploration Agency (JAXA), Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center, Tsukuba, Japan","institution_ids":["https://openalex.org/I2800865746"]},{"raw_affiliation_string":"Earth Obs. Res. Center, Japan Aerosp. Exploration Agency (JAXA), Tsukuba, Japan","institution_ids":["https://openalex.org/I2800865746"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016225372","display_name":"Masanobu Shimada","orcid":"https://orcid.org/0000-0001-8981-6679"},"institutions":[{"id":"https://openalex.org/I2800865746","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masanobu Shimada","raw_affiliation_strings":["Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center, Tsukuba, Japan","Earth Obs. Res. Center, Japan Aerosp. Exploration Agency (JAXA), Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center, Tsukuba, Japan","institution_ids":["https://openalex.org/I2800865746"]},{"raw_affiliation_string":"Earth Obs. Res. Center, Japan Aerosp. Exploration Agency (JAXA), Tsukuba, Japan","institution_ids":["https://openalex.org/I2800865746"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101272482"],"corresponding_institution_ids":["https://openalex.org/I2800865746"],"apc_list":{"value":1250,"currency":"USD","value_usd":1250},"apc_paid":null,"fwci":7.5719,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.97402283,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"7","issue":"4","first_page":"1186","last_page":"1199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9976999759674072,"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":0.9976999759674072,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9916999936103821,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9782999753952026,"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/land-cover","display_name":"Land cover","score":0.7175619006156921},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6330999135971069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6245565414428711},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6220771074295044},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.5615510940551758},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5562804937362671},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5338256359100342},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5314503908157349},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5125350952148438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5087164044380188},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.50722336769104},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.48105740547180176},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.42542433738708496},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41150712966918945},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.2911946177482605},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13028690218925476},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12064263224601746}],"concepts":[{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.7175619006156921},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6330999135971069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6245565414428711},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6220771074295044},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.5615510940551758},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5562804937362671},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5338256359100342},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5314503908157349},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5125350952148438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5087164044380188},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.50722336769104},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.48105740547180176},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42542433738708496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41150712966918945},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.2911946177482605},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13028690218925476},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12064263224601746},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstars.2014.2313572","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstars.2014.2313572","pdf_url":null,"source":{"id":"https://openalex.org/S117727964","display_name":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","issn_l":"1939-1404","issn":["1939-1404","2151-1535"],"is_oa":false,"is_in_doaj":true,"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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7799999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334900","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1967701561","https://openalex.org/W1977993374","https://openalex.org/W1988790447","https://openalex.org/W2000454085","https://openalex.org/W2009190245","https://openalex.org/W2011143997","https://openalex.org/W2014512338","https://openalex.org/W2017337590","https://openalex.org/W2024046085","https://openalex.org/W2029176216","https://openalex.org/W2031079430","https://openalex.org/W2037346230","https://openalex.org/W2044465660","https://openalex.org/W2045031658","https://openalex.org/W2049633694","https://openalex.org/W2053295068","https://openalex.org/W2070855837","https://openalex.org/W2085282193","https://openalex.org/W2098242727","https://openalex.org/W2100329651","https://openalex.org/W2104206240","https://openalex.org/W2106157442","https://openalex.org/W2108996480","https://openalex.org/W2117395697","https://openalex.org/W2120958899","https://openalex.org/W2121947440","https://openalex.org/W2123221155","https://openalex.org/W2133496072","https://openalex.org/W2134594501","https://openalex.org/W2138976227","https://openalex.org/W2139122730","https://openalex.org/W2139212933","https://openalex.org/W2141607694","https://openalex.org/W2144087394","https://openalex.org/W2148711476","https://openalex.org/W2150593711","https://openalex.org/W2151194477","https://openalex.org/W2154905357","https://openalex.org/W2160699216","https://openalex.org/W2911964244","https://openalex.org/W2981849677","https://openalex.org/W4241787951","https://openalex.org/W4244952642","https://openalex.org/W6679820939","https://openalex.org/W6679890472","https://openalex.org/W6769377118"],"related_works":["https://openalex.org/W2146767093","https://openalex.org/W2086889680","https://openalex.org/W4388878085","https://openalex.org/W2387288480","https://openalex.org/W3153505674","https://openalex.org/W4246466849","https://openalex.org/W4388878069","https://openalex.org/W2997511728","https://openalex.org/W2525967854","https://openalex.org/W2119349310"],"abstract_inverted_index":{"Numerous":[0],"classification":[1,9,24,49,83,127,135,158,211],"algorithms":[2,25,50],"have":[3],"been":[4],"proposed":[5],"to":[6,32,121,143],"create":[7],"accurate":[8,210],"maps":[10,212],"using":[11,88,216],"optical":[12],"remote":[13],"sensing":[14],"data.":[15,101,218],"However,":[16],"few":[17],"comparative":[18],"studies":[19],"evaluate":[20],"the":[21,56,123,130,145,148,156,165,197,205,235],"performance":[22],"of":[23,48,61,125,133,147,199,208,221],"with":[26],"focus":[27],"on":[28],"tropical":[29,86],"forests":[30],"due":[31],"cloud":[33],"effects.":[34],"Advances":[35],"in":[36,84,107,163,234],"synthetic":[37],"aperture":[38],"radar":[39],"(SAR)":[40],"techniques":[41],"and":[42,46,58,74,140,150,160,170,175,179,181,203,230],"spatial":[43],"resolution,":[44],"mapping,":[45],"comparison":[47],"are":[51],"possible.":[52],"This":[53,117],"research":[54,223],"investigated":[55],"accuracy":[57,159],"processing":[59,161],"speeds":[60],"five":[62],"supervised":[63],"classifiers,":[64],"including":[65],"Na\u00efve":[66],"Bayes,":[67],"AdaBoost,":[68],"multi-layer":[69],"perceptron,":[70],"random":[71],"forest":[72],"(RF),":[73],"support":[75],"vector":[76],"machine,":[77],"for":[78,129,167,177,183,196,228],"land":[79],"use\u2013land":[80],"cover":[81],"(LULC)":[82],"a":[85,126,193],"region":[87],"time-series":[89,217],"Advanced":[90],"Land":[91],"Observing":[92],"Satellite-phased":[93],"array":[94],"type":[95],"L-band":[96],"SAR":[97],"(ALOS-PALSAR)":[98],"25-m":[99],"mosaic":[100,201],"The":[102,219],"study":[103],"area":[104],"is":[105,192,213],"located":[106],"central":[108],"Sumatra,":[109],"Indonesia,":[110],"where":[111],"abundant":[112],"forest-related":[113],"carbon":[114],"stocks":[115],"exist.":[116],"investigation":[118],"was":[119],"intended":[120],"aid":[122],"implementation":[124],"algorithm":[128],"automatic":[131,206],"creation":[132,207],"LULC":[134],"maps.":[136],"We":[137],"perform":[138],"object-based":[139,184],"pixel-based":[141,178],"analyses":[142],"investigate":[144],"ability":[146],"classifiers":[149],"their":[151],"accuracies,":[152],"respectively.":[153,186],"RF":[154,191],"had":[155],"best":[157],"speed":[162],"which":[164],"accuracies":[166],"10":[168],"classes":[169,172],"2":[171],"were":[173],"64.07%":[174],"90.22%":[176],"82.94%":[180],"86.23%":[182],"evaluations,":[185],"These":[187],"results":[188],"indicate":[189],"that":[190,204],"useful":[194],"classifier":[195],"analysis":[198],"PALSAR":[200],"data":[202],"highly":[209],"possible":[214],"by":[215],"outcome":[220],"this":[222],"will":[224],"be":[225],"valuable":[226],"resources":[227],"biodiversity":[229],"global-warming":[231],"mitigation":[232],"efforts":[233],"region.":[236]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
