{"id":"https://openalex.org/W4320027769","doi":"https://doi.org/10.1109/robio55434.2022.10011758","title":"Decomposed Soft Compression for Remote Sensing Image","display_name":"Decomposed Soft Compression for Remote Sensing Image","publication_year":2022,"publication_date":"2022-12-05","ids":{"openalex":"https://openalex.org/W4320027769","doi":"https://doi.org/10.1109/robio55434.2022.10011758"},"language":"en","primary_location":{"id":"doi:10.1109/robio55434.2022.10011758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio55434.2022.10011758","pdf_url":null,"source":{"id":"https://openalex.org/S4363607789","display_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-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/A5010844097","display_name":"Guangyao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangyao Liu","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University,Tianjin,China","College of Artificial Intelligence, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University,Tianjin,China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389198","display_name":"Wenyu Li","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyu Li","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University,Tianjin,China","College of Artificial Intelligence, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University,Tianjin,China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015883801","display_name":"Feng Duan","orcid":"https://orcid.org/0000-0002-2179-2460"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Duan","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University,Tianjin,China","College of Artificial Intelligence, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University,Tianjin,China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010844097"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":0.1199,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46920006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"650","last_page":"655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.7620251178741455},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7347931861877441},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.664537787437439},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6027689576148987},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5786160826683044},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5739631652832031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5581682324409485},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.5457209944725037},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.515570342540741},{"id":"https://openalex.org/keywords/jpeg-2000","display_name":"JPEG 2000","score":0.4628962576389313},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4154001474380493},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.3864140510559082},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3858575224876404},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3417290151119232},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28646039962768555},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1107068657875061}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620251178741455},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7347931861877441},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.664537787437439},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6027689576148987},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5786160826683044},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5739631652832031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5581682324409485},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.5457209944725037},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.515570342540741},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.4628962576389313},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4154001474380493},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.3864140510559082},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3858575224876404},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3417290151119232},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28646039962768555},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1107068657875061},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio55434.2022.10011758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio55434.2022.10011758","pdf_url":null,"source":{"id":"https://openalex.org/S4363607789","display_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G232529042","display_name":null,"funder_award_id":"63221023","funder_id":"https://openalex.org/F4320323021","funder_display_name":"Nankai University"},{"id":"https://openalex.org/G8265460779","display_name":null,"funder_award_id":"11932013","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G901434319","display_name":null,"funder_award_id":"2017YFE0129700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320323021","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1877865836","https://openalex.org/W1970766824","https://openalex.org/W1976101156","https://openalex.org/W2014316959","https://openalex.org/W2048948689","https://openalex.org/W2078810838","https://openalex.org/W2087674410","https://openalex.org/W2096445898","https://openalex.org/W2122955150","https://openalex.org/W2124276741","https://openalex.org/W2153638435","https://openalex.org/W2170023599","https://openalex.org/W2170407643","https://openalex.org/W2393988244","https://openalex.org/W2592962403","https://openalex.org/W2789561488","https://openalex.org/W2919575343","https://openalex.org/W2965631471","https://openalex.org/W3033386156","https://openalex.org/W3035629584","https://openalex.org/W3088142143","https://openalex.org/W3109808818","https://openalex.org/W4200348960"],"related_works":["https://openalex.org/W3210332869","https://openalex.org/W4327499886","https://openalex.org/W2070505606","https://openalex.org/W4294006383","https://openalex.org/W2115343698","https://openalex.org/W3202870363","https://openalex.org/W1680283075","https://openalex.org/W2380116549","https://openalex.org/W2013943429","https://openalex.org/W2096442341"],"abstract_inverted_index":{"Modern":[0],"imaging":[1],"modalities":[2],"from":[3],"airborne":[4],"or":[5],"space":[6],"platforms":[7],"generate":[8],"a":[9,18,44],"large":[10],"amount":[11],"of":[12,30,58],"remote":[13,25,98],"sensing":[14,26,99],"images,":[15],"which":[16,33,55],"places":[17],"burden":[19],"on":[20,83,96],"storage":[21],"and":[22,90],"transmission.":[23],"These":[24],"images":[27,76],"contain":[28],"lots":[29],"ground":[31],"targets":[32],"cannot":[34],"tolerate":[35],"fidelity":[36],"loss":[37],"in":[38,61,113],"many":[39],"fields.":[40],"In":[41],"this":[42],"paper,":[43],"novel":[45],"lossless":[46],"compression":[47,93,114],"method":[48,65,106],"named":[49],"Decomposed":[50],"Soft":[51],"Compression":[52],"is":[53],"proposed":[54,64,105],"takes":[56],"advantage":[57],"rich":[59],"details":[60],"images.":[62],"The":[63],"exploits":[66],"image":[67,84,100],"redundancy":[68],"through":[69],"integer":[70],"wavelet":[71],"transform.":[72],"Then":[73],"the":[74,88,92,104],"decomposed":[75],"are":[77],"encoded":[78],"with":[79,117],"shape-based":[80],"encoder.":[81],"Transformation":[82],"layers":[85],"can":[86],"increase":[87],"sparsity":[89],"improve":[91],"ratio.":[94],"Ex-periments":[95],"large-scale":[97],"datasets":[101],"show":[102],"that":[103],"achieves":[107],"up":[108],"to":[109],"17.1":[110],"%":[111],"improvement":[112],"ratio":[115],"compared":[116],"JPEG":[118],"2000.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}