{"id":"https://openalex.org/W2901616686","doi":"https://doi.org/10.1117/12.2324451","title":"A convolution-deconvolution method for improved storage and communication of remotely-sensed image data","display_name":"A convolution-deconvolution method for improved storage and communication of remotely-sensed image data","publication_year":2018,"publication_date":"2018-11-13","ids":{"openalex":"https://openalex.org/W2901616686","doi":"https://doi.org/10.1117/12.2324451","mag":"2901616686"},"language":"en","primary_location":{"id":"doi:10.1117/12.2324451","doi":"https://doi.org/10.1117/12.2324451","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2324451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VII","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5060719971","display_name":"Gabriel Scarmana","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gabriel Scarmana","raw_affiliation_strings":["Univ. of Southern Queensland (Australia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Southern Queensland (Australia)","institution_ids":["https://openalex.org/I185523456"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003983695","display_name":"Kevin McDougall","orcid":"https://orcid.org/0000-0001-6088-1004","observed_orcids":["https://orcid.org/0000-0001-6088-1004"]},"institutions":[{"id":"https://openalex.org/I185523456","display_name":"University of Southern Queensland","ror":"https://ror.org/04sjbnx57","country_code":"AU","type":"education","lineage":["https://openalex.org/I185523456"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kevin McDougall","raw_affiliation_strings":["Univ. of Southern Queensland (Australia)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Southern Queensland (Australia)","institution_ids":["https://openalex.org/I185523456"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185523456"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"67","issue":null,"first_page":"40","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-compression","display_name":"image compression","score":0.9300000071525574},{"id":"https://openalex.org/keywords/image-restoration","display_name":"image restoration","score":0.7009999752044678},{"id":"https://openalex.org/keywords/remote-sensing-imagery","display_name":"remote sensing images","score":0.7239999771118164},{"id":"https://openalex.org/keywords/digital-image-coding","display_name":"digital image coding","score":0.4740000069141388},{"id":"https://openalex.org/keywords/blurring","display_name":"blurring","score":0.7329999804496765},{"id":"https://openalex.org/keywords/linear-kernel","display_name":"linear kernel","score":0.6959999799728394},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"compression ratio","score":0.9520000219345093},{"id":"https://openalex.org/keywords/image-reconstruction-quality","display_name":"image reconstruction quality","score":0.6880000233650208},{"id":"https://openalex.org/keywords/image-storage","display_name":"image storage","score":0.367000013589859}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.6962651610374451},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6278297901153564},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6074105501174927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6069765090942383},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.600498378276825},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5512720346450806},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5427248477935791},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5319495797157288},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.48985812067985535},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.454903244972229},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3818230926990509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3135657012462616},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2684139311313629},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23622363805770874},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09544426202774048},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2324451","doi":"https://doi.org/10.1117/12.2324451","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2324451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VII","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.usq.edu.au:35131","doi":null,"is_oa":false,"landing_page_url":"http://eprints.usq.edu.au/35131/1/scarmana_mcdougall.pdf","pdf_url":"http://eprints.usq.edu.au/35131/1/scarmana_mcdougall.pdf","source":null,"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item (Commonwealth Reporting Category E)"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W35011678","https://openalex.org/W35475965","https://openalex.org/W981517633","https://openalex.org/W1533162639","https://openalex.org/W1580963329","https://openalex.org/W1975691109","https://openalex.org/W2111975408","https://openalex.org/W2121242306","https://openalex.org/W2769954494","https://openalex.org/W4213215721","https://openalex.org/W4241182111","https://openalex.org/W6633365022"],"related_works":["https://openalex.org/W1990770803","https://openalex.org/W2908438319","https://openalex.org/W2327243683","https://openalex.org/W4415907055","https://openalex.org/W3041578243","https://openalex.org/W2254673779","https://openalex.org/W7095659463","https://openalex.org/W7117569199","https://openalex.org/W2144495502","https://openalex.org/W3104889521"],"abstract_inverted_index":{"An":[0],"essential":[1],"feature":[2],"of":[3,23,87,113,148,166,180,187,190],"remote":[4],"sensing":[5],"and":[6,13,37,47,101,122,170],"digital":[7,16,34],"photogrammetric":[8],"processes":[9],"is":[10,72,105,141,155],"image":[11,35,45,53,71,89,126,154,169],"compression":[12,36,48,98],"communication":[14],"over":[15],"links.":[17],"This":[18],"paper":[19,42],"investigates":[20],"the":[21,41,82,94,97,102,129,138,164,167,175,188,191],"probability":[22],"using":[24],"a":[25,29,60,114,119,144,149],"convolution-deconvolution":[26],"method":[27],"as":[28],"pre-post-processing":[30],"step":[31],"in":[32,59,185],"standard":[33],"restoration.":[38],"As":[39],"such,":[40],"relates":[43],"to":[44,76,143,162],"coding":[46],"systems":[49],"whereby":[50,93],"an":[51,88,125],"original":[52,78,168],"can":[54,159],"be":[55,160],"transmitted":[56],"or":[57],"stored":[58],"convolved":[61],"(i.e.":[62,118],"blurred)":[63],"representation":[64,147],"which":[65,158],"renders":[66],"it":[67],"more":[68],"compressible.":[69],"The":[70,85,178],"then":[73],"thoroughly":[74],"restored":[75,172],"its":[77],"state":[79],"by":[80,109,111,173],"reversing":[81,174],"convolution":[83],"process.":[84,177],"compressibility":[86],"increases":[90],"with":[91],"blurring,":[92],"relation":[95],"between":[96],"ratio":[99],"(CR)":[100],"blurring":[103,124,176],"scale":[104],"almost":[106],"linear.":[107],"Hence,":[108],"convolving":[110],"way":[112],"localised":[115],"response":[116,139],"function":[117,140],"linear":[120],"kernel)":[121],"thereby":[123,171],"before":[127],"compression,":[128],"CR":[130,182],"will":[131],"increase":[132],"accordingly.":[133],"In":[134],"this":[135],"novel":[136],"process":[137],"applied":[142],"fractal":[145],"one-dimensional":[146],"given":[150],"image.":[151],"A":[152],"blurred":[153],"thus":[156],"created,":[157],"shown":[161],"contain":[163],"details":[165],"implications":[179],"increased":[181],"are":[183],"examined":[184],"terms":[186],"quality":[189],"reconstructed":[192],"images.":[193]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2018-11-29T00:00:00"}
