{"id":"https://openalex.org/W4200530826","doi":"https://doi.org/10.1109/cce53527.2021.9633070","title":"Quantitative Comparisons of Edge Based and Region Based Feature Detection in Digital Aerial Imagery Analysis","display_name":"Quantitative Comparisons of Edge Based and Region Based Feature Detection in Digital Aerial Imagery Analysis","publication_year":2021,"publication_date":"2021-11-10","ids":{"openalex":"https://openalex.org/W4200530826","doi":"https://doi.org/10.1109/cce53527.2021.9633070"},"language":"en","primary_location":{"id":"doi:10.1109/cce53527.2021.9633070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cce53527.2021.9633070","pdf_url":null,"source":{"id":"https://openalex.org/S4363608599","display_name":"2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","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/A5101519387","display_name":"Zhengmao Ye","orcid":"https://orcid.org/0000-0001-8897-574X"},"institutions":[{"id":"https://openalex.org/I145610796","display_name":"Southern University and Agricultural and Mechanical College","ror":"https://ror.org/04r3m2882","country_code":"US","type":"education","lineage":["https://openalex.org/I145610796"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhengmao Ye","raw_affiliation_strings":["College of Science and Engineering, Southern University,Baton Rouge,USA","College of Science and Engineering, Southern University, Baton Rouge, USA"],"affiliations":[{"raw_affiliation_string":"College of Science and Engineering, Southern University,Baton Rouge,USA","institution_ids":["https://openalex.org/I145610796"]},{"raw_affiliation_string":"College of Science and Engineering, Southern University, Baton Rouge, USA","institution_ids":["https://openalex.org/I145610796"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101519387"],"corresponding_institution_ids":["https://openalex.org/I145610796"],"apc_list":null,"apc_paid":null,"fwci":0.0653,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35613479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9983000159263611,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7829698920249939},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6764264106750488},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6166630983352661},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5501257181167603},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.538301408290863},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5342819690704346},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5169017314910889},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.4932960867881775},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4790259897708893},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42517584562301636},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.41582635045051575},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2463856339454651},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23122000694274902},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.21576207876205444}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7829698920249939},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6764264106750488},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6166630983352661},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5501257181167603},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.538301408290863},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5342819690704346},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5169017314910889},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.4932960867881775},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4790259897708893},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42517584562301636},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.41582635045051575},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2463856339454651},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23122000694274902},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.21576207876205444},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cce53527.2021.9633070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cce53527.2021.9633070","pdf_url":null,"source":{"id":"https://openalex.org/S4363608599","display_name":"2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 18th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1981682670","https://openalex.org/W2027628481","https://openalex.org/W2045392528","https://openalex.org/W2116417699","https://openalex.org/W2138584058","https://openalex.org/W2184894734","https://openalex.org/W2188876831","https://openalex.org/W2330927424","https://openalex.org/W2913646655","https://openalex.org/W3023411394","https://openalex.org/W3034284131","https://openalex.org/W6645422080","https://openalex.org/W6677607649","https://openalex.org/W6680670101"],"related_works":["https://openalex.org/W2284111848","https://openalex.org/W1669643531","https://openalex.org/W3096154704","https://openalex.org/W2122581818","https://openalex.org/W2340360913","https://openalex.org/W1981132553","https://openalex.org/W4368362586","https://openalex.org/W2378180619","https://openalex.org/W2100493112","https://openalex.org/W3187709876"],"abstract_inverted_index":{"Digital":[0],"image":[1,13,120],"segmentation":[2,57,121],"focuses":[3],"on":[4,15,72,169],"separation":[5],"of":[6,58,79,142],"one":[7],"or":[8,18],"more":[9],"features":[10],"in":[11,161],"an":[12],"based":[14,47,50,71],"certain":[16],"similarity":[17],"discontinuity":[19],"criterion.":[20],"It":[21],"is":[22,92],"inevitable":[23],"for":[24,125],"the":[25,66,87,102,110,151,165],"aerial":[26,60],"imagery":[27],"to":[28,56,94,163],"be":[29],"contaminated":[30],"by":[31],"artifacts":[32],"and":[33,42,48,105,113,134,158,172],"noises,":[34],"which":[35],"causes":[36],"extra":[37],"blurry":[38],"boundary,":[39],"intensity":[40],"inhomogeneity,":[41],"high":[43],"complexity.":[44],"Both":[45],"edge":[46,129,132],"region":[49],"feature":[51,98,170],"detection":[52,99,171],"are":[53,77,123],"broadly":[54],"applied":[55],"digital":[59,119],"imagery.":[61],"Numerous":[62],"comparative":[63],"results":[64],"between":[65],"two":[67,96],"have":[68],"been":[69,147],"obtained":[70],"qualitative":[73],"analysis,":[74],"while":[75],"conclusions":[76],"lack":[78],"convincing":[80],"data-driven":[81],"evidences":[82],"instead.":[83],"In":[84],"this":[85],"article,":[86],"systematic":[88],"quantitative":[89,143],"analysis":[90],"approach":[91],"proposed":[93],"compare":[95],"dominating":[97],"techniques":[100],"using":[101],"RGB":[103],"model":[104],"HSI":[106],"model,":[107],"from":[108],"both":[109],"frequency":[111],"domain":[112,115],"spatial":[114],"perspectives.":[116],"Three":[117],"popular":[118],"schemes":[122],"employed":[124],"comparisons,":[126],"including":[127],"Canny":[128],"detection,":[130,133],"Gabor":[131],"kernel":[135],"fuzzy":[136],"C-Means":[137],"clustering.":[138],"A":[139],"useful":[140],"set":[141],"information":[144,174],"metrics":[145],"has":[146],"introduced,":[148],"such":[149],"as":[150],"discrete":[152],"entropy,":[153],"mutual":[154],"information,":[155],"homogeneity,":[156],"contrast,":[157],"dynamic":[159],"range,":[160],"order":[162],"enhance":[164],"decision":[166],"making":[167],"accuracy":[168],"ensure":[173],"integrity.":[175]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
