{"id":"https://openalex.org/W2061910165","doi":"https://doi.org/10.1109/ipta.2010.5586774","title":"Improvement of the space resolution of the optical remote sensing image by the principle of CCD imaging","display_name":"Improvement of the space resolution of the optical remote sensing image by the principle of CCD imaging","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2061910165","doi":"https://doi.org/10.1109/ipta.2010.5586774","mag":"2061910165"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2010.5586774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2010.5586774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","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/A5100680700","display_name":"Qing Liu","orcid":"https://orcid.org/0000-0003-0150-1782"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qing Liu","raw_affiliation_strings":["Engineering Training Center, Xi''an University of Technology, Xi'an, China","School of Mechanical Engineering, Xi''an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Engineering Training Center, Xi''an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Mechanical Engineering, Xi''an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063733571","display_name":"Sun\u2019an Wang","orcid":"https://orcid.org/0000-0003-3905-4770"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sun'an Wang","raw_affiliation_strings":["School of Mechanical Engineering, Xi''an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi''an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724967","display_name":"Zhang Xiao-hui","orcid":"https://orcid.org/0000-0001-8438-546X"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XiaoHui Zhang","raw_affiliation_strings":["Engineering Training Center, Xi''an University of Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Engineering Training Center, Xi''an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101876834","display_name":"Yun Hou","orcid":"https://orcid.org/0000-0001-7103-1478"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Hou","raw_affiliation_strings":["Engineering Training Center, Xi''an University of Technology, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Engineering Training Center, Xi''an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100680700"],"corresponding_institution_ids":["https://openalex.org/I4210131919","https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.14157613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":null,"first_page":"477","last_page":"481"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9988999962806702,"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/interpolation","display_name":"Interpolation (computer graphics)","score":0.7888104319572449},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7381613850593567},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6153194904327393},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5880140066146851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5808764100074768},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5316563248634338},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4789995849132538},{"id":"https://openalex.org/keywords/charge-coupled-device","display_name":"Charge-coupled device","score":0.46231207251548767},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.4517516493797302},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.4266257882118225},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42185091972351074},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4142935872077942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31786221265792847},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.28802841901779175},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.22954940795898438},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07493257522583008}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.7888104319572449},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7381613850593567},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6153194904327393},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5880140066146851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5808764100074768},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5316563248634338},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4789995849132538},{"id":"https://openalex.org/C152213855","wikidata":"https://www.wikidata.org/wiki/Q189880","display_name":"Charge-coupled device","level":2,"score":0.46231207251548767},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.4517516493797302},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.4266257882118225},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42185091972351074},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4142935872077942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31786221265792847},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.28802841901779175},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.22954940795898438},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07493257522583008},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2010.5586774","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2010.5586774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1510977481","https://openalex.org/W2003552728","https://openalex.org/W2058922908","https://openalex.org/W2061575734","https://openalex.org/W2101758433","https://openalex.org/W2113908741","https://openalex.org/W2133114708","https://openalex.org/W2341168461","https://openalex.org/W2354073393","https://openalex.org/W2374453317","https://openalex.org/W4205944311","https://openalex.org/W7018683064","https://openalex.org/W7044132970"],"related_works":["https://openalex.org/W2198506642","https://openalex.org/W2085045190","https://openalex.org/W2350206378","https://openalex.org/W2762358038","https://openalex.org/W4248225840","https://openalex.org/W3118376042","https://openalex.org/W1992965744","https://openalex.org/W2063021468","https://openalex.org/W1824140114","https://openalex.org/W2187176501"],"abstract_inverted_index":{"Based":[0],"on":[1],"the":[2,8,17,25,34,38,51,56,63,70,80,92,103,115,122,129,142,149],"feature":[3],"of":[4,11,19,65,91,101],"CCD":[5],"image":[6,12,104,111,123],"forming,":[7],"internal":[9],"principle":[10],"forming":[13],"is":[14,22,41,47,73,112,125,135],"analyzed,":[15],"and":[16,95,114,132],"loss":[18,64],"charge":[20,39,66],"transfer":[21,40,67],"calculated":[23],"by":[24,99],"Shockley":[26],"-":[27,29],"Read":[28],"Hall":[30],"equation,":[31],"in":[32,78],"which":[33,79],"distribution":[35],"function":[36,82],"between":[37],"reconstructed.":[42],"Rational":[43],"polynomial":[44],"interpolation":[45,76,81],"algorithm":[46],"used":[48],"to":[49,68,148],"determine":[50],"unknown":[52],"pixel":[53],"points":[54],"for":[55],"adjacent":[57],"pixels":[58,94],"that":[59,119],"do":[60],"not":[61,120],"overcome":[62],"enhance":[69],"image.":[71],"It":[72],"an":[74],"self-adaptive":[75],"algorithm,":[77],"can":[83,105],"be":[84,106],"adjusted":[85],"automatically":[86],"with":[87,137],"electrical":[88],"potential":[89],"difference":[90],"adjoining":[93],"its":[96],"energy":[97],"zone,":[98],"means":[100],"which,":[102],"magnified":[107],"self-adaptively.":[108],"Remote":[109],"sensing":[110],"tested,":[113],"example":[116],"results":[117],"show":[118],"only":[121],"quality":[124],"improved,":[126],"but":[127],"also":[128],"clear":[130],"margin":[131],"contour":[133],"information":[134],"kept":[136],"this":[138],"algorithm.":[139],"And":[140],"thus":[141],"processed":[143],"images":[144],"are":[145],"more":[146],"conducive":[147],"naked":[150],"eye.":[151]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
