{"id":"https://openalex.org/W4400877638","doi":"https://doi.org/10.1109/lgrs.2024.3431644","title":"UC-HSI: UAV-Based Crop Hyperspectral Imaging Datasets and Machine Learning Benchmark Results","display_name":"UC-HSI: UAV-Based Crop Hyperspectral Imaging Datasets and Machine Learning Benchmark Results","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400877638","doi":"https://doi.org/10.1109/lgrs.2024.3431644"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2024.3431644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3431644","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/A5061497675","display_name":"Adduru U G Sankararao","orcid":"https://orcid.org/0000-0002-5030-9714"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Adduru U. G. Sankararao","raw_affiliation_strings":["Department of Electrical Engineering, IIT Hyderabad, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, IIT Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069669674","display_name":"P. Rajalakshmi","orcid":"https://orcid.org/0000-0002-7252-6728"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Rajalakshmi","raw_affiliation_strings":["Department of Electrical Engineering, IIT Hyderabad, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, IIT Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103964066","display_name":"Sunita Choudhary","orcid":"https://orcid.org/0000-0002-7464-2298"},"institutions":[{"id":"https://openalex.org/I4210163774","display_name":"International Crops Research Institute for the Semi-Arid Tropics","ror":"https://ror.org/0541a3n79","country_code":"IN","type":"nonprofit","lineage":["https://openalex.org/I4210163774"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sunita Choudhary","raw_affiliation_strings":["ICRISAT, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"ICRISAT, Hyderabad, India","institution_ids":["https://openalex.org/I4210163774"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061497675"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":2.2171,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89108951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.5928000211715698,"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":0.5928000211715698,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.578499972820282,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.5685999989509583,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.9381804466247559},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7838419675827026},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6936249732971191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6017105579376221},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4337160587310791},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4308335781097412},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38315343856811523},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3304117023944855},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08894690871238708},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.06916689872741699},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06818217039108276}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.9381804466247559},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7838419675827026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6936249732971191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6017105579376221},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4337160587310791},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4308335781097412},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38315343856811523},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3304117023944855},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08894690871238708},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.06916689872741699},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06818217039108276}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2024.3431644","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2024.3431644","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"},{"id":"pmh:oai:icrisat:12918","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401867","display_name":"Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210163774","host_organization_name":"International Crops Research Institute for the Semi-Arid Tropics","host_organization_lineage":["https://openalex.org/I4210163774"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W2101640795","https://openalex.org/W2102166818","https://openalex.org/W2136251662","https://openalex.org/W2318153520","https://openalex.org/W2572303978","https://openalex.org/W2617056706","https://openalex.org/W2765366036","https://openalex.org/W2782794599","https://openalex.org/W2790888198","https://openalex.org/W2793272303","https://openalex.org/W2793588243","https://openalex.org/W2808098982","https://openalex.org/W2963794428","https://openalex.org/W3049655825","https://openalex.org/W3094502228","https://openalex.org/W3096433689","https://openalex.org/W3105357426","https://openalex.org/W3214821343","https://openalex.org/W4225162096","https://openalex.org/W4285323639","https://openalex.org/W4391948183"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2385371209","https://openalex.org/W4250051149","https://openalex.org/W2083270190","https://openalex.org/W1991437568"],"abstract_inverted_index":{"Accurate":[0],"and":[1,7,18,31,45,84,87,109,169,192,212],"timely":[2],"information":[3],"about":[4],"crop":[5,58,93,165,188],"types":[6],"their":[8],"distribution":[9],"is":[10],"crucial":[11],"for":[12,107,142],"effective":[13],"agricultural":[14,73],"management,":[15],"resource":[16],"allocation,":[17],"policy-making.":[19],"Remote":[20],"sensing":[21],"(RS)":[22],"imaging":[23,65],"has":[24,68],"the":[25,29,46,54,69,102,135,164,180,205],"potential":[26,70],"to":[27,71,77,162,203,210],"automate":[28],"identification":[30],"mapping":[32],"of":[33,42,50,183],"crops":[34],"over":[35],"large":[36],"areas.":[37],"The":[38,139,190],"low":[39],"spatial":[40,86],"resolutions":[41],"satellite-based":[43],"platforms":[44],"limited":[47],"spectral":[48,82,119,137],"capability":[49],"RGB/multispectral":[51],"cameras":[52],"are":[53,97,113,151],"bottlenecks":[55],"in":[56,117,134,185],"efficient":[57],"categorization.":[59],"Unmanned":[60],"aerial":[61],"vehicle":[62],"(UAV)-based":[63],"hyperspectral":[64,94],"(HSI)":[66],"technology":[67],"classify/map":[72],"landscapes":[74],"efficiently":[75,168],"due":[76],"its":[78,171],"extensive":[79],"coverages,":[80],"rich":[81],"information,":[83],"high":[85],"temporal":[88],"resolutions.":[89],"However,":[90],"very":[91],"few":[92],"(HS)":[95],"datasets":[96,133,146,167,191],"publicly":[98,197],"available,":[99],"on":[100,106,215],"which":[101,112],"research":[103],"community":[104],"relies":[105],"developing":[108],"testing":[110],"algorithms,":[111],"created":[114],"from":[115,147],"either":[116],"situ":[118],"measurements":[120],"or":[121],"low-resolution":[122],"satellite":[123],"images.":[124],"This":[125],"letter":[126],"presents":[127],"UAV-borne":[128],"Crop":[129],"HyperSpectral":[130],"Image":[131],"(UC-HSI)":[132],"385\u20131021-nm":[136],"range.":[138],"detailed":[140],"steps":[141],"creating":[143],"clean":[144],"HSI":[145,166,217],"UAV-based":[148,216],"HS":[149],"images":[150],"described.":[152],"We":[153],"also":[154],"proposed":[155],"a":[156],"novel":[157],"convolutional":[158],"transformer":[159],"fusion":[160],"architecture":[161],"classify":[163],"compared":[170],"performance":[172],"with":[173],"machine":[174],"learning":[175],"(ML)":[176],"benchmarks;":[177],"it":[178],"obtained":[179],"best":[181],"accuracy":[182],"95.26%":[184],"categorizing":[186],"ten":[187],"varieties.":[189],"codes":[193],"will":[194],"be":[195],"made":[196],"available":[198],"at":[199],"<uri":[200],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[201],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/sankaraug/CrHyperS</uri>":[202],"benefit":[204],"RS":[206],"community,":[207],"allowing":[208],"them":[209],"develop":[211],"test":[213],"algorithms":[214],"data.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
