{"id":"https://openalex.org/W2808775768","doi":"https://doi.org/10.2352/issn.2470-1173.2018.12.iqsp-232","title":"The Benefits of Color over Black-and-White Images in Task-Oriented Reconnaissance Applications","display_name":"The Benefits of Color over Black-and-White Images in Task-Oriented Reconnaissance Applications","publication_year":2018,"publication_date":"2018-01-14","ids":{"openalex":"https://openalex.org/W2808775768","doi":"https://doi.org/10.2352/issn.2470-1173.2018.12.iqsp-232","mag":"2808775768"},"language":"en","primary_location":{"id":"doi:10.2352/issn.2470-1173.2018.12.iqsp-232","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2018.12.iqsp-232","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","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/A5089531141","display_name":"Cicely DiPaulo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cicely DiPaulo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082140486","display_name":"Larry Scarff","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Larry Scarff","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089531141"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03399038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"30","issue":"12","first_page":"232","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9666000008583069,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/monochrome","display_name":"Monochrome","score":0.9829623699188232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7263736724853516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6775031685829163},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6726213693618774},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5027000904083252},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.419478178024292},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4163476824760437},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4155331254005432},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3808615207672119},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33969950675964355},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.26519399881362915}],"concepts":[{"id":"https://openalex.org/C2776754580","wikidata":"https://www.wikidata.org/wiki/Q10770146","display_name":"Monochrome","level":2,"score":0.9829623699188232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7263736724853516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6775031685829163},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6726213693618774},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5027000904083252},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.419478178024292},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4163476824760437},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4155331254005432},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3808615207672119},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33969950675964355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26519399881362915},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/issn.2470-1173.2018.12.iqsp-232","is_oa":false,"landing_page_url":"https://doi.org/10.2352/issn.2470-1173.2018.12.iqsp-232","pdf_url":null,"source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5199999809265137},{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1952531816","https://openalex.org/W2091842696","https://openalex.org/W4236858245","https://openalex.org/W120278547","https://openalex.org/W2017140605","https://openalex.org/W4378446536","https://openalex.org/W2377986037","https://openalex.org/W2794975693","https://openalex.org/W2073228495","https://openalex.org/W2372379734"],"abstract_inverted_index":{"Color":[0],"imaging":[1],"is":[2,19,76],"such":[3],"a":[4,11,105,117,125,136,141,172,178],"ubiquitous":[5],"capability":[6],"in":[7,57,128,195],"daily":[8],"life":[9],"that":[10,27,110,133],"general":[12],"preference":[13],"for":[14,186],"color":[15,72,102,114,188],"over":[16,44],"black-and-white":[17,196],"images":[18,115],"often":[20,48],"simply":[21],"assumed.":[22],"However,":[23],"tactical":[24],"reconnaissance":[25],"applications":[26],"involve":[28],"visual":[29,83,96],"detection":[30,84,155],"and":[31,73,85,162,165,177],"identification":[32,86],"have":[33],"historically":[34],"relied":[35],"on":[36],"spatial":[37,60,137],"information":[38],"alone.":[39],"In":[40],"addition,":[41],"realtime":[42],"transmission":[43],"narrow":[45],"communication":[46],"channels":[47],"restricts":[49],"the":[50,68,82,93,187,191],"amount":[51,94],"of":[52,67,77,87,89,95,107,139,143,160],"image":[53,97,193],"data,":[54],"requiring":[55],"tradeoffs":[56],"spectral":[58],"vs.":[59,190],"content.":[61],"For":[62],"these":[63],"reasons,":[64],"an":[65],"assessment":[66],"discrimination":[69],"differences":[70],"between":[71],"monochrome":[74,119],"systems":[75,103,161],"significant":[78],"interest":[79],"to":[80,132,152],"optimize":[81],"objects":[88],"interest.":[90],"We":[91],"demonstrate":[92],"\"utility\"":[98],"difference":[99],"provided":[100],"by":[101],"through":[104],"series":[106],"subjective":[108],"experiments":[109],"pair":[111],"spatially":[112],"degraded":[113],"with":[116,157],"reference":[118],"sample.":[120],"The":[121],"quality":[122],"comparisons":[123],"show":[124],"performance":[126,164],"improvement":[127,138,176,183],"intelligence":[129],"value":[130],"equivalent":[131],"achieved":[134],"from":[135],"about":[140],"factor":[142],"two":[144],"(approximately":[145],"1.0":[146],"NIIRS).":[147],"Observers":[148],"were":[149,168,184],"also":[150],"asked":[151],"perform":[153],"specific":[154],"tasks":[156],"both":[158],"types":[159],"their":[163],"confidence":[166,182],"results":[167],"measured.":[169],"On":[170],"average,":[171],"25":[173],"percent":[174,180],"accuracy":[175],"30":[179],"corresponding":[181],"measured":[185],"presentation":[189],"same":[192],"presented":[194],"(monochrome).":[197]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}