{"id":"https://openalex.org/W2274475332","doi":"https://doi.org/10.1109/vtcfall.2015.7391115","title":"Remote-Sensing Image Compression Using Priori-Information and Feature Registration","display_name":"Remote-Sensing Image Compression Using Priori-Information and Feature Registration","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2274475332","doi":"https://doi.org/10.1109/vtcfall.2015.7391115","mag":"2274475332"},"language":"en","primary_location":{"id":"doi:10.1109/vtcfall.2015.7391115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2015.7391115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5037753868","display_name":"Xijia Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XiJia Liu","raw_affiliation_strings":["Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua University, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101459082","display_name":"Xiaoming Tao","orcid":"https://orcid.org/0000-0002-8763-9338"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XiaoMing Tao","raw_affiliation_strings":["Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua University, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053547427","display_name":"Ning Ge","orcid":"https://orcid.org/0000-0002-4922-7025"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Ge","raw_affiliation_strings":["Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua University, Beijing, Beijing, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua University, Beijing, Beijing, CN","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976000189781189,"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/lossy-compression","display_name":"Lossy compression","score":0.8106592893600464},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.781746506690979},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7300527095794678},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6740435361862183},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.6635550260543823},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6543886661529541},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6292140483856201},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6173547506332397},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6011278629302979},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.5837023854255676},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.5626682043075562},{"id":"https://openalex.org/keywords/lossless-jpeg","display_name":"Lossless JPEG","score":0.4831332862377167},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.42688706517219543},{"id":"https://openalex.org/keywords/transform-coding","display_name":"Transform coding","score":0.423170268535614},{"id":"https://openalex.org/keywords/motion-compensation","display_name":"Motion compensation","score":0.41241899132728577},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.41080960631370544},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28573620319366455},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15809372067451477},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.140886127948761}],"concepts":[{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.8106592893600464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.781746506690979},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7300527095794678},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6740435361862183},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.6635550260543823},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6543886661529541},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6292140483856201},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6173547506332397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6011278629302979},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5837023854255676},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.5626682043075562},{"id":"https://openalex.org/C8384606","wikidata":"https://www.wikidata.org/wiki/Q2190356","display_name":"Lossless JPEG","level":5,"score":0.4831332862377167},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.42688706517219543},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.423170268535614},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.41241899132728577},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.41080960631370544},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28573620319366455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15809372067451477},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.140886127948761},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vtcfall.2015.7391115","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vtcfall.2015.7391115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1973066611","https://openalex.org/W1973804635","https://openalex.org/W1995573397","https://openalex.org/W2001123014","https://openalex.org/W2018069368","https://openalex.org/W2051696263","https://openalex.org/W2078810838","https://openalex.org/W2117228865","https://openalex.org/W2146395539","https://openalex.org/W2169966850","https://openalex.org/W2326240252","https://openalex.org/W6654848894"],"related_works":["https://openalex.org/W3190486427","https://openalex.org/W4243959093","https://openalex.org/W1998280942","https://openalex.org/W2441603424","https://openalex.org/W1992410481","https://openalex.org/W2145138541","https://openalex.org/W1980149576","https://openalex.org/W2026465795","https://openalex.org/W3137515556","https://openalex.org/W4385625475"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"focus":[4],"on":[5,30],"a":[6,112],"high":[7],"performance":[8],"compression":[9],"scheme":[10,97],"for":[11,107,122],"remote-sensing":[12,25,87],"images,":[13,57],"which":[14,38,74],"is":[15,39,47,66,75],"essential":[16],"due":[17],"to":[18,49,79],"limited":[19],"transmission":[20],"bandwidth":[21],"while":[22],"explosively":[23],"growing":[24],"image":[26,88],"data":[27],"size.":[28],"First,":[29],"the":[31,59,82,95],"basis":[32],"of":[33,86],"intra-image":[34],"spatial":[35],"redundancy":[36,52],"removal,":[37],"used":[40,76],"by":[41,103],"JPEG":[42,99,102,118],"2000":[43,100,119],"and":[44,55,72,101,110,120],"CCSDS,":[45],"priori-information":[46],"introduced":[48],"eliminate":[50],"temporal":[51],"between":[53],"historical":[54],"newly-captured":[56],"at":[58],"same":[60],"time.":[61],"Second,":[62],"feature":[63],"registration":[64],"technique":[65],"applied":[67],"rather":[68],"than":[69],"motion":[70],"estimation":[71],"compensation":[73],"in":[77],"HEVC,":[78],"deal":[80],"with":[81],"long-range":[83],"non-linear":[84],"correlation":[85],"series.":[89],"Numerical":[90],"simulation":[91],"results":[92],"show":[93],"that":[94],"proposed":[96],"outperforms":[98],"over":[104,117],"1.37":[105],"times":[106],"lossless":[108],"compression,":[109],"presents":[111],"5":[113],"dB":[114],"PSNR":[115],"gain":[116],"HEVC":[121],"lossy":[123],"compression.":[124]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}