{"id":"https://openalex.org/W3001823000","doi":"https://doi.org/10.1145/3373419.3373448","title":"Is Satellite Image Target Camouflage Still Valid Under Deep Learning Target Detection?","display_name":"Is Satellite Image Target Camouflage Still Valid Under Deep Learning Target Detection?","publication_year":2019,"publication_date":"2019-11-08","ids":{"openalex":"https://openalex.org/W3001823000","doi":"https://doi.org/10.1145/3373419.3373448","mag":"3001823000"},"language":"en","primary_location":{"id":"doi:10.1145/3373419.3373448","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419.3373448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","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/A5050448459","display_name":"Shuai Kang","orcid":"https://orcid.org/0000-0002-8174-8605"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuai Kang","raw_affiliation_strings":["Xidian University, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086029723","display_name":"Haichang Gao","orcid":"https://orcid.org/0000-0002-4969-5718"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haichang Gao","raw_affiliation_strings":["Xidian University, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033775458","display_name":"Yiwen Tang","orcid":"https://orcid.org/0000-0002-5288-2266"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Tang","raw_affiliation_strings":["Xidian University, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695128","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0001-9993-0731"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["Xidian University, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100712712","display_name":"Jiaming Chen","orcid":"https://orcid.org/0000-0003-1166-0357"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaming Chen","raw_affiliation_strings":["Xidian University, China"],"affiliations":[{"raw_affiliation_string":"Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5050448459"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10382966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"10","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9908999800682068,"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":0.9908999800682068,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9876000285148621,"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":0.9871000051498413,"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/camouflage","display_name":"Camouflage","score":0.9266603589057922},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.67838454246521},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6340305209159851},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6119158864021301},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.528690755367279},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5025947093963623},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49449869990348816},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4766417443752289},{"id":"https://openalex.org/keywords/satellite-image","display_name":"Satellite image","score":0.4699704051017761},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1774648129940033},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.10752695798873901},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09125015139579773}],"concepts":[{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.9266603589057922},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67838454246521},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6340305209159851},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6119158864021301},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.528690755367279},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5025947093963623},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49449869990348816},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4766417443752289},{"id":"https://openalex.org/C2985301230","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite image","level":3,"score":0.4699704051017761},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1774648129940033},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.10752695798873901},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09125015139579773}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3373419.3373448","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419.3373448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2048250827","https://openalex.org/W2570343428","https://openalex.org/W2613718673","https://openalex.org/W2734506812","https://openalex.org/W2750933153","https://openalex.org/W2796347433","https://openalex.org/W2804436788","https://openalex.org/W2804523038","https://openalex.org/W2962749812","https://openalex.org/W2963351448","https://openalex.org/W2990138404","https://openalex.org/W3106250896","https://openalex.org/W6600137863","https://openalex.org/W6604344240"],"related_works":["https://openalex.org/W2787086950","https://openalex.org/W2005185696","https://openalex.org/W2161229648","https://openalex.org/W2235753890","https://openalex.org/W2993674027","https://openalex.org/W2130228941","https://openalex.org/W2092957489","https://openalex.org/W2366116130","https://openalex.org/W2100907567","https://openalex.org/W2314419244"],"abstract_inverted_index":{"Satellite":[0],"images":[1],"can":[2,47],"be":[3],"used":[4,21],"to":[5,24,57,62,88,100,111,148,153],"observe":[6],"a":[7,13],"wild":[8],"range":[9],"of":[10,34,92,116,142],"ground":[11],"in":[12,27,113,126],"bird's":[14],"eye":[15],"view.":[16],"In":[17,79],"the":[18,31,66,90,106,123,127,140,143,150],"past,":[19],"researchers":[20],"hand-craft":[22],"features":[23],"detect":[25,48],"targets":[26,49,60],"satellite":[28,67,128],"images.":[29],"With":[30],"rapid":[32],"growth":[33],"deep":[35,75,134,155],"learning,":[36],"neural":[37],"networks":[38],"such":[39],"as":[40],"Faster":[41],"R-CNN,":[42],"YOLO,":[43],"SSD":[44],"and":[45,51,86,94],"RetinaNet":[46,87],"precisely":[50],"quickly.":[52],"Traditional":[53],"camouflage":[54,70,93,125,151],"is":[55,71],"designed":[56],"make":[58],"important":[59],"hard":[61],"identify.":[63],"So":[64],"whether":[65],"image":[68,115,129],"target":[69,77,124,136],"still":[72],"effective":[73],"with":[74],"learning":[76,135,156],"detection?":[78],"this":[80],"paper,":[81,144],"we":[82],"use":[83],"YOLO":[84,98],"v3":[85,99],"verify":[89],"effectiveness":[91],"propose":[95],"an":[96,114],"improved":[97],"enhance":[101],"detection":[102,107,137,157],"efficiency,":[103],"which":[104],"raise":[105],"speed":[108],"from":[109],"34.5fps":[110],"55.3fps":[112],"416*416.":[117],"The":[118],"experimental":[119],"results":[120],"show":[121],"that":[122],"has":[130],"no":[131],"effect":[132,152],"under":[133],"methods.":[138],"At":[139],"end":[141],"suggestions":[145],"on":[146],"how":[147],"improve":[149],"resist":[154],"are":[158],"proposed.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}