{"id":"https://openalex.org/W2006544465","doi":"https://doi.org/10.1109/igarss.2015.7325821","title":"Research on relationship between remote sensing image quality and performance of interest point detection","display_name":"Research on relationship between remote sensing image quality and performance of interest point detection","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2006544465","doi":"https://doi.org/10.1109/igarss.2015.7325821","mag":"2006544465"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2015.7325821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5100644806","display_name":"Jicheng Wang","orcid":"https://orcid.org/0000-0003-2744-7059"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jicheng Wang","raw_affiliation_strings":["Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China","Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079586899","display_name":"Yuanxin Ye","orcid":"https://orcid.org/0000-0001-6843-6722"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxin Ye","raw_affiliation_strings":["Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China","Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077324106","display_name":"Li Shen","orcid":"https://orcid.org/0000-0003-4638-3329"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Shen","raw_affiliation_strings":["Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China","Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344719","display_name":"Zhipeng Li","orcid":"https://orcid.org/0000-0001-6644-0357"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Li","raw_affiliation_strings":["Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China","Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086868223","display_name":"Songbo Wu","orcid":"https://orcid.org/0000-0003-2118-0963"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songbo Wu","raw_affiliation_strings":["Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China","Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Department of Remote Sensing and Geospatial Information Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"545","last_page":"548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.998199999332428,"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/repeatability","display_name":"Repeatability","score":0.6940597295761108},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.6672643423080444},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.645038902759552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6443909406661987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6202640533447266},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5641148686408997},{"id":"https://openalex.org/keywords/gaussian-blur","display_name":"Gaussian blur","score":0.519832193851471},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5174420475959778},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5150296688079834},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5061308741569519},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.47937968373298645},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4311944842338562},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3856125771999359},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30869901180267334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30277204513549805},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.2961057722568512},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19499534368515015}],"concepts":[{"id":"https://openalex.org/C154020017","wikidata":"https://www.wikidata.org/wiki/Q520171","display_name":"Repeatability","level":2,"score":0.6940597295761108},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.6672643423080444},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.645038902759552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6443909406661987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6202640533447266},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5641148686408997},{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.519832193851471},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5174420475959778},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5150296688079834},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5061308741569519},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.47937968373298645},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4311944842338562},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3856125771999359},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30869901180267334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30277204513549805},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2961057722568512},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19499534368515015},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2015.7325821","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2015.7325821","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1773272891","https://openalex.org/W1995903777","https://openalex.org/W2015360107","https://openalex.org/W2034872721","https://openalex.org/W2035713052","https://openalex.org/W2042316011","https://openalex.org/W2085518012","https://openalex.org/W2104520769","https://openalex.org/W2132549992","https://openalex.org/W2136396015","https://openalex.org/W2141162477","https://openalex.org/W2147555557","https://openalex.org/W2172188317","https://openalex.org/W4205398292"],"related_works":["https://openalex.org/W2980263616","https://openalex.org/W2801208768","https://openalex.org/W4293863315","https://openalex.org/W2104650909","https://openalex.org/W3000122362","https://openalex.org/W2006276623","https://openalex.org/W4367679994","https://openalex.org/W2464903433","https://openalex.org/W2145481071","https://openalex.org/W4255207896"],"abstract_inverted_index":{"The":[0,78],"paper":[1],"researches":[2],"on":[3],"the":[4,10,21,30,36,44,64,86,94,99,106,122],"relationship":[5,107],"between":[6],"image":[7,22,33,82,102],"quality":[8,23,34,50,83,103],"and":[9,25,35,49,67,75,85,93,118,125],"performance":[11,37],"of":[12,32,38,46,58,101],"interest":[13,26,39],"point":[14,27,40],"detection.":[15],"In":[16],"this":[17],"paper,":[18],"we":[19],"use":[20],"metrics":[24,84],"repeatability":[28,87,95],"as":[29,63,116],"measures":[31],"detection":[41],"respectively.":[42],"Considering":[43],"differences":[45],"image's":[47,123],"scene":[48,124],"degradation":[51,126],"factor,":[52],"nine":[53],"images":[54],"covering":[55],"three":[56],"kinds":[57],"classic":[59],"scenes":[60],"are":[61,69,128],"selected":[62],"experiment":[65],"data,":[66],"they":[68],"respectively":[70],"contaminated":[71],"by":[72,111],"Gaussian":[73,76],"blur":[74],"noise.":[77],"results":[79],"show":[80],"that":[81],"have":[88],"a":[89],"certain":[90],"quantitative":[91],"relationship,":[92],"is":[96],"reduced":[97],"with":[98],"decrease":[100],"metrics.":[104],"Moreover,":[105],"can":[108],"be":[109],"simulated":[110],"some":[112],"simple":[113],"functions":[114],"such":[115],"linear":[117],"exponential":[119],"model":[120],"when":[121],"factor":[127],"fixed.":[129]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
