{"id":"https://openalex.org/W4416214934","doi":"https://doi.org/10.1109/jstsp.2025.3632533","title":"Compression as Restoration: A Unified Implicit Approach to Self-Supervised Hyperspectral Image Representation","display_name":"Compression as Restoration: A Unified Implicit Approach to Self-Supervised Hyperspectral Image Representation","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W4416214934","doi":"https://doi.org/10.1109/jstsp.2025.3632533"},"language":null,"primary_location":{"id":"doi:10.1109/jstsp.2025.3632533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2025.3632533","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","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/A5103062866","display_name":"Junqi Shi","orcid":"https://orcid.org/0000-0003-0503-2995"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junqi Shi","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0003-0503-2995","affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662832","display_name":"Qirui Zhang","orcid":"https://orcid.org/0000-0002-3520-9336"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qirui Zhang","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089957493","display_name":"Ming Lu","orcid":"https://orcid.org/0000-0002-5044-8802"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Lu","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-5044-8802","affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073914656","display_name":"Zhan Ma","orcid":"https://orcid.org/0000-0003-3686-4057"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Ma","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0003-3686-4057","affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29953894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"8","first_page":"1890","last_page":"1904"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.3057999908924103,"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":0.3057999908924103,"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":0.1784999966621399,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.11810000240802765,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.7247999906539917},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.6764000058174133},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.5690000057220459},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5630000233650208},{"id":"https://openalex.org/keywords/image-compression","display_name":"Image compression","score":0.558899998664856},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5479999780654907},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48420000076293945},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.47679999470710754},{"id":"https://openalex.org/keywords/signal-compression","display_name":"Signal compression","score":0.46549999713897705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7261000275611877},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7247999906539917},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6764000058174133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6541000008583069},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.5690000057220459},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5630000233650208},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.558899998664856},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5479999780654907},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48420000076293945},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.47679999470710754},{"id":"https://openalex.org/C2778192920","wikidata":"https://www.wikidata.org/wiki/Q16874989","display_name":"Signal compression","level":4,"score":0.46549999713897705},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4099999964237213},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.39640000462532043},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.37299999594688416},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.36320000886917114},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.33399999141693115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3230000138282776},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.30970001220703125},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3041999936103821},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.2994999885559082},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2946000099182129},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27810001373291016},{"id":"https://openalex.org/C100515483","wikidata":"https://www.wikidata.org/wiki/Q3268235","display_name":"Filter bank","level":3,"score":0.2669999897480011},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.25850000977516174},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jstsp.2025.3632533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2025.3632533","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1695590184","display_name":null,"funder_award_id":"62401251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4715220092","display_name":null,"funder_award_id":"BK20241226","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6318237247","display_name":null,"funder_award_id":"62431011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W320879671","https://openalex.org/W609694675","https://openalex.org/W1950365613","https://openalex.org/W2010797000","https://openalex.org/W2012096318","https://openalex.org/W2012946078","https://openalex.org/W2016166719","https://openalex.org/W2029316659","https://openalex.org/W2031614119","https://openalex.org/W2063615912","https://openalex.org/W2092977764","https://openalex.org/W2133764833","https://openalex.org/W2142458747","https://openalex.org/W2153922636","https://openalex.org/W2158548804","https://openalex.org/W2166816543","https://openalex.org/W2170407643","https://openalex.org/W2314785379","https://openalex.org/W2481105521","https://openalex.org/W2609880332","https://openalex.org/W2764276316","https://openalex.org/W2782517596","https://openalex.org/W2790888198","https://openalex.org/W2908905805","https://openalex.org/W2911940095","https://openalex.org/W2914198047","https://openalex.org/W2963350032","https://openalex.org/W2998841120","https://openalex.org/W3013064625","https://openalex.org/W3036475713","https://openalex.org/W3046109728","https://openalex.org/W3047443805","https://openalex.org/W3047945973","https://openalex.org/W3090326207","https://openalex.org/W3102507295","https://openalex.org/W3126418508","https://openalex.org/W3128776197","https://openalex.org/W3141915823","https://openalex.org/W3154593456","https://openalex.org/W3195162645","https://openalex.org/W3202918664","https://openalex.org/W3208382921","https://openalex.org/W3214821343","https://openalex.org/W4200150166","https://openalex.org/W4214543554","https://openalex.org/W4214701710","https://openalex.org/W4281257095","https://openalex.org/W4312237916","https://openalex.org/W4312827273","https://openalex.org/W4367320924","https://openalex.org/W4379116708","https://openalex.org/W4386065618","https://openalex.org/W4386066651","https://openalex.org/W4386075872","https://openalex.org/W4386215107","https://openalex.org/W4386243171","https://openalex.org/W4386902809","https://openalex.org/W4386952144","https://openalex.org/W4391759934","https://openalex.org/W4393034353","https://openalex.org/W4399718770","https://openalex.org/W4402703005","https://openalex.org/W4402727237","https://openalex.org/W4402980306","https://openalex.org/W4403791093","https://openalex.org/W4405441312","https://openalex.org/W4409262098","https://openalex.org/W4413158162"],"related_works":[],"abstract_inverted_index":{"Hyperspectral":[0],"image":[1],"(HSI)":[2],"signals":[3],"are":[4],"high-dimensional,":[5],"continuous,":[6],"and":[7,14,22,124,147,167,187,219,224],"sensor-variant,":[8],"posing":[9],"significant":[10],"challenges":[11],"for":[12,47,115],"compression":[13,81,137,159,186,195,206],"restoration-especially":[15],"under":[16,157,193],"the":[17,23,86,89,94,104,108,132],"scarcity":[18],"of":[19,25,88,96,107,134,216],"labeled":[20,127],"data":[21,210,225],"limitations":[24],"discretized,":[26],"supervised":[27],"models.":[28],"In":[29],"this":[30],"work,":[31],"we":[32,101,130],"propose":[33],"<bold":[34],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[35,233],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">HINER++</b>,":[36],"a":[37,58,63,74,112,145,203,213],"unified,":[38],"self-supervised":[39,214],"framework":[40],"based":[41],"on":[42,93,138,174],"implicit":[43,151],"neural":[44,65,76,90],"representations":[45],"(INRs)":[46],"continuous":[48,75],"hyperspectral":[49],"signal":[50,69,217],"modeling.":[51],"HINER++":[52,180],"formulates":[53],"each":[54],"HSI":[55,68,116,176],"sample":[56],"as":[57,111,121,144],"wavelength-to-intensity":[59],"mapping,":[60],"parameterized":[61],"by":[62,84],"compact":[64],"network.":[66],"Thus,":[67],"modeling":[70,152],"becomes":[71],"equivalent":[72],"to":[73,198,235],"function":[77],"regression":[78],"problem,":[79],"where":[80],"is":[82,207],"achieved":[83],"encoding":[85],"parameters":[87],"function.":[91],"Building":[92],"principles":[95],"Deep":[97],"Image":[98],"Prior":[99],"(DIP),":[100],"further":[102],"reinterpret":[103],"inductive":[105],"bias":[106],"INR":[109],"architecture":[110],"natural":[113],"prior":[114],"restoration,":[117],"enabling":[118],"tasks":[119],"such":[120,150],"denoising,":[122],"inpainting,":[123],"super-resolution":[125],"without":[126],"supervision.":[128],"Finally,":[129],"investigate":[131],"impact":[133],"lossy":[135],"INR-based":[136],"downstream":[139],"perception":[140],"tasks,":[141,189],"using":[142],"classification":[143,191],"proxy,":[146],"demonstrate":[148,178],"that":[149,179],"helps":[153],"preserve":[154],"task":[155],"performance":[156,183],"extreme":[158,194],"via":[160],"proposed":[161],"task-aware":[162],"components-Adaptive":[163],"Spectral":[164,169],"Weighting":[165],"(ASW)":[166],"Implicit":[168],"Interpolation":[170],"(ISI).":[171],"Extensive":[172],"experiments":[173],"real-world":[175],"benchmarks":[177],"achieves":[181],"superior":[182],"across":[184],"multiple":[185],"restoration":[188],"preserving":[190],"accuracy":[192],"ratios":[196],"(up":[197],"100\u00d7).":[199],"This":[200],"work":[201],"offers":[202],"new":[204],"perspective:":[205],"not":[208],"merely":[209],"reduction,":[211],"but":[212],"process":[215],"disentanglement":[218],"recovery.":[220],"All":[221],"source":[222],"code":[223],"will":[226],"be":[227],"made":[228],"publicly":[229],"available":[230],"at":[231],"<uri":[232],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Eric-qi/HINER</uri>":[234],"support":[236],"reproducible":[237],"research.":[238]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-14T00:00:00"}
