{"id":"https://openalex.org/W2947593667","doi":"https://doi.org/10.5220/0007734901170125","title":"Well Detection in Satellite Images using Convolutional Neural Networks","display_name":"Well Detection in Satellite Images using Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2947593667","doi":"https://doi.org/10.5220/0007734901170125","mag":"2947593667"},"language":"en","primary_location":{"id":"doi:10.5220/0007734901170125","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007734901170125","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0007734901170125","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078139608","display_name":"Pratik Wagh","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pratik Wagh","raw_affiliation_strings":["Department of Computer Science & Engineering, IIT Bombay, Mumbai and India, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, IIT Bombay, Mumbai and India, --- Select a Country ---","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068887717","display_name":"Debanjan Das","orcid":"https://orcid.org/0000-0002-3450-9767"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debanjan Das","raw_affiliation_strings":["Department of Computer Science & Engineering, IIT Bombay, Mumbai and India, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, IIT Bombay, Mumbai and India, --- Select a Country ---","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009328068","display_name":"Om Damani","orcid":"https://orcid.org/0000-0002-4043-9806"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Om Damani","raw_affiliation_strings":["Department of Computer Science & Engineering, IIT Bombay, Mumbai and India, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, IIT Bombay, Mumbai and India, --- Select a Country ---","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06954078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"117","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9628999829292297,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12282","display_name":"Mineral Processing and Grinding","score":0.9628999829292297,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12543","display_name":"Groundwater and Watershed Analysis","score":0.9319999814033508,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9279999732971191,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/computer-science","display_name":"Computer science","score":0.8345629572868347},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8222667574882507},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.7097437977790833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6607688665390015},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5792635083198547},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5187838077545166},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5048009157180786},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5007188320159912},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.49866437911987305},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4507862329483032},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43751251697540283},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2591823935508728}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8345629572868347},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8222667574882507},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7097437977790833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6607688665390015},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5792635083198547},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5187838077545166},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5048009157180786},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5007188320159912},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.49866437911987305},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4507862329483032},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43751251697540283},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2591823935508728},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0007734901170125","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007734901170125","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0007734901170125","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0007734901170125","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W3183901164","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3192840557","https://openalex.org/W3176438653","https://openalex.org/W3103566983"],"abstract_inverted_index":{"The":[0,100],"Government":[1],"of":[2,34,43,55,61,79,89,95,103,138,172],"India":[3],"conducts":[4],"a":[5,28,86,92,109,139],"well":[6,62,114,159],"census":[7],"every":[8],"five":[9],"years.":[10],"It":[11],"is":[12,106,135,157,163],"time-consuming,":[13],"costly,":[14],"and":[15,53,64,75,91,119,148,166],"usually":[16],"incomplete.":[17],"By":[18],"using":[19],"transfer":[20],"learning-based":[21],"object":[22,45],"detection":[23,33,46,63,115,171],"algorithms,":[24],"we":[25],"have":[26],"built":[27],"system":[29,84,112,145,162],"for":[30,113,170],"the":[31,41,59,67,77,129,136,161],"automatic":[32],"wells":[35],"in":[36,116,128,151],"satellite":[37,117,142,152],"images.":[38,153],"We":[39],"analyze":[40],"performance":[42],"three":[44],"algorithms":[47],"-":[48],"Convolutional":[49,68],"Neural":[50,69],"Network,":[51],"HaarCascade,":[52],"Histogram":[54],"Oriented":[56],"Gradients":[57],"on":[58,97,158],"task":[60],"find":[65],"that":[66],"Network":[70],"based":[71],"YOLOv2":[72],"performs":[73],"best":[74],"forms":[76],"core":[78],"our":[80,98,104,155],"system.":[81],"Our":[82],"current":[83],"has":[85],"precision":[87],"value":[88,94],"0.95":[90],"recall":[93],"0.91":[96],"dataset.":[99],"main":[101],"contribution":[102,134],"work":[105],"to":[107,146],"create":[108,120],"novel":[110],"open-source":[111],"images":[118],"an":[121],"associated":[122],"dataset":[123],"which":[124],"will":[125],"be":[126,168],"put":[127],"public":[130],"domain.":[131],"A":[132],"related":[133],"development":[137],"general":[140,164],"purpose":[141,165],"image":[143],"annotation":[144],"annotate":[147],"validate":[149],"objects":[150,174],"While":[154],"focus":[156],"detection,":[160],"can":[167],"used":[169],"other":[173],"as":[175],"well.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}