{"id":"https://openalex.org/W7081916321","doi":"https://doi.org/10.1109/tgrs.2025.3609759","title":"Query Refined and Spatially Enhanced Algorithm for Small- and Medium-Sized Crater Detection and Cataloging","display_name":"Query Refined and Spatially Enhanced Algorithm for Small- and Medium-Sized Crater Detection and Cataloging","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7081916321","doi":"https://doi.org/10.1109/tgrs.2025.3609759"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3609759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3609759","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","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":null,"display_name":"Bofei Chen","orcid":"https://orcid.org/0009-0007-4812-2022"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bofei Chen","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-4812-2022","affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jie Jiang","orcid":"https://orcid.org/0000-0003-1946-1707"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Jiang","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1946-1707","affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Key Laboratory of Precision Opto-Mechatronics Technology, Ministry of Education, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.48614491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10406","display_name":"Planetary Science and Exploration","score":0.9455000162124634,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10406","display_name":"Planetary Science and Exploration","score":0.9455000162124634,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10325","display_name":"Astro and Planetary Science","score":0.03420000150799751,"subfield":{"id":"https://openalex.org/subfields/3103","display_name":"Astronomy and Astrophysics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11701","display_name":"Space Satellite Systems and Control","score":0.0019000000320374966,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/impact-crater","display_name":"Impact crater","score":0.7574999928474426},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7293999791145325},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5641999840736389},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.42579999566078186},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.328900009393692},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3176000118255615},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.31040000915527344}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7839000225067139},{"id":"https://openalex.org/C179537507","wikidata":"https://www.wikidata.org/wiki/Q55818","display_name":"Impact crater","level":2,"score":0.7574999928474426},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7293999791145325},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5641999840736389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.430400013923645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4271000027656555},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.42579999566078186},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3977000117301941},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35749998688697815},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.35190001130104065},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.31040000915527344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.29660001397132874},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C150627866","wikidata":"https://www.wikidata.org/wiki/Q1076893","display_name":"Field of view","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3609759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3609759","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6812529778","display_name":null,"funder_award_id":"61725501","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W1977024169","https://openalex.org/W2066673296","https://openalex.org/W2090239701","https://openalex.org/W2117586409","https://openalex.org/W2125769353","https://openalex.org/W2137729094","https://openalex.org/W2148848671","https://openalex.org/W2194775991","https://openalex.org/W2248209063","https://openalex.org/W2413388840","https://openalex.org/W2616247523","https://openalex.org/W2792008101","https://openalex.org/W2864198995","https://openalex.org/W2903185461","https://openalex.org/W2922359028","https://openalex.org/W2963351448","https://openalex.org/W2964121718","https://openalex.org/W2989676862","https://openalex.org/W2993800129","https://openalex.org/W3018714229","https://openalex.org/W3020427173","https://openalex.org/W3080509309","https://openalex.org/W3096609285","https://openalex.org/W3125728987","https://openalex.org/W3189288180","https://openalex.org/W3194879524","https://openalex.org/W3196731946","https://openalex.org/W3202252921","https://openalex.org/W4211141554","https://openalex.org/W4281386613","https://openalex.org/W4283717190","https://openalex.org/W4288325606","https://openalex.org/W4312960790","https://openalex.org/W4376606075","https://openalex.org/W4385245566","https://openalex.org/W4386065740","https://openalex.org/W4386083115","https://openalex.org/W4388107707","https://openalex.org/W4389179984","https://openalex.org/W4390871672","https://openalex.org/W4390871882","https://openalex.org/W4390873750","https://openalex.org/W4390876270","https://openalex.org/W4392667193","https://openalex.org/W4393207085","https://openalex.org/W4396605538","https://openalex.org/W4398151413","https://openalex.org/W4398151431","https://openalex.org/W4399039842","https://openalex.org/W4399358654","https://openalex.org/W4402702923","https://openalex.org/W4402702961","https://openalex.org/W4402754006","https://openalex.org/W4405179719","https://openalex.org/W4409313289","https://openalex.org/W4409426156","https://openalex.org/W4413978775"],"related_works":[],"abstract_inverted_index":{"Small-":[0],"and":[1,19,27,46,64,84,137,208,240,247,261],"medium-sized":[2],"impact":[3],"craters":[4,210],"(SMC)":[5],"play":[6],"a":[7,37,69,130],"key":[8],"role":[9],"in":[10,56,172,267],"the":[11,86,89,95,104,111,117,124,139,153,181,229],"field":[12],"of":[13,88,113,141,155,232],"deep":[14],"space":[15],"exploration,":[16],"whose":[17],"detection":[18,41,54,140,156,194,206,256],"measurement":[20],"face":[21],"problems":[22],"such":[23],"as":[24,101,252],"fringe":[25],"blurring":[26],"low":[28],"contrast":[29],"due":[30],"to":[31,81,108,129,133,151,158,167,203],"their":[32],"size.":[33],"This":[34],"study":[35],"proposes":[36],"new":[38],"deep-learning-based":[39],"SMC":[40,182,222,259],"algorithm":[42,73,99,257],"named":[43],"SMC-DETR":[44,166],"(Small-":[45],"Medium-sized":[47],"Crater":[48],"Detection":[49],"Transformer),":[50],"which":[51,190],"improves":[52],"crater":[53,193,255,263],"performance":[55],"three":[57],"aspects:":[58],"query":[59,71,106],"selection,":[60],"deformable":[61,125],"attention":[62,126],"mechanism,":[63],"dense":[65],"supervision":[66],"strategy.":[67],"Firstly,":[68],"valid":[70,105],"selection":[72],"adopted":[74],"can":[75],"dynamically":[76],"pick":[77],"more":[78,162],"distinguishable":[79],"embeddings":[80],"remove":[82],"redundancy":[83],"enhance":[85],"efficiency":[87],"decoder.":[90],"Pseudo":[91],"labels":[92],"produced":[93],"by":[94],"Non-Maximum":[96],"Suppression":[97],"(NMS)":[98],"work":[100],"guides":[102],"for":[103,165],"head":[107],"converge":[109],"with":[110,223,237],"help":[112],"rank":[114],"loss.":[115],"Second,":[116],"spatial":[118,135],"information":[119,244],"is":[120,149,245,250],"explicitly":[121],"injected":[122],"into":[123],"weight,":[127],"leading":[128],"stronger":[131],"robustness":[132],"perceive":[134],"locations":[136],"facilitate":[138],"SMC.":[142],"Last,":[143],"densely":[144],"supervised":[145],"(DS)":[146],"training":[147],"strategy":[148],"implemented":[150],"increase":[152],"amount":[154],"output":[157],"be":[159,235],"assigned,":[160],"ensuring":[161],"intensified":[163],"gradient":[164],"converge.":[168],"The":[169,254],"model":[170],"proposed":[171],"this":[173],"paper":[174],"achieves":[175],"14.3%":[176],"Average":[177],"Precision":[178],"(AP)":[179],"on":[180,188],"dataset":[183,260],"while":[184],"reaching":[185],"36.9%":[186],"AP":[187],"MDCD,":[189],"defeats":[191],"other":[192],"baselines.":[195],"In":[196],"addition,":[197],"digital":[198],"elevation":[199],"map":[200],"(DEM)":[201],"helps":[202],"filter":[204],"false":[205],"results":[207],"candidate":[209],"are":[211,265],"manually":[212],"verified":[213],"so":[214],"that":[215,219],"an":[216],"elaborate":[217],"catalog":[218,264],"contains":[220],"15,595":[221],"diameters":[224],"around":[225],"10":[226],"m":[227],"near":[228],"landing":[230],"site":[231],"Chang\u2019E-5":[233],"could":[234],"built":[236],"high":[238],"accuracy":[239],"precision.":[241],"Detailed":[242],"topographic":[243],"provided,":[246],"statistical":[248],"analysis":[249],"conducted":[251],"well.":[253],"model,":[258],"completed":[262],"accessible":[266],"https://github.com/BugBubbles/SMC-DETR.":[268]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
