{"id":"https://openalex.org/W3130796775","doi":"https://doi.org/10.1109/igarss39084.2020.9324053","title":"Satellite-Derived Bathymetry Using Deep Convolutional Neural Network","display_name":"Satellite-Derived Bathymetry Using Deep Convolutional Neural Network","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3130796775","doi":"https://doi.org/10.1109/igarss39084.2020.9324053","mag":"3130796775"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9324053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","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/A5073061800","display_name":"Bibin Wilson","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":true,"raw_author_name":"Bibin Wilson","raw_affiliation_strings":["Indian Institute of Technology, Bombay, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Bombay, Maharashtra, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012268461","display_name":"Nikhil Cherian Kurian","orcid":"https://orcid.org/0000-0003-1713-0736"},"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":"Nikhil Cherian Kurian","raw_affiliation_strings":["Indian Institute of Technology, Bombay, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Bombay, Maharashtra, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006749763","display_name":"Anand Singh","orcid":"https://orcid.org/0000-0003-4736-3514"},"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":"Anand Singh","raw_affiliation_strings":["Indian Institute of Technology, Bombay, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Bombay, Maharashtra, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087629613","display_name":"Amit Sethi","orcid":"https://orcid.org/0000-0002-8634-1804"},"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":"Amit Sethi","raw_affiliation_strings":["Indian Institute of Technology, Bombay, Maharashtra, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Bombay, Maharashtra, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073061800"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":1.1426,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.75634748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2280","last_page":"2283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9995999932289124,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9957000017166138,"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"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bathymetry","display_name":"Bathymetry","score":0.9053894877433777},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7260069251060486},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7198317646980286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6732560396194458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6461401581764221},{"id":"https://openalex.org/keywords/dice","display_name":"Dice","score":0.5895825028419495},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5674993991851807},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5476932525634766},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.5221688747406006},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5124219059944153},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49991655349731445},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4377669394016266},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3304876685142517},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32872700691223145},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2993757724761963},{"id":"https://openalex.org/keywords/oceanography","display_name":"Oceanography","score":0.07459041476249695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07265597581863403}],"concepts":[{"id":"https://openalex.org/C174943157","wikidata":"https://www.wikidata.org/wiki/Q810826","display_name":"Bathymetry","level":2,"score":0.9053894877433777},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7260069251060486},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7198317646980286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6732560396194458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6461401581764221},{"id":"https://openalex.org/C22029948","wikidata":"https://www.wikidata.org/wiki/Q45089","display_name":"Dice","level":2,"score":0.5895825028419495},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5674993991851807},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5476932525634766},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.5221688747406006},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5124219059944153},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49991655349731445},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4377669394016266},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3304876685142517},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32872700691223145},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2993757724761963},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.07459041476249695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07265597581863403},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9324053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9324053","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1535357625","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2014123121","https://openalex.org/W2028104478","https://openalex.org/W2098676252","https://openalex.org/W2105012295","https://openalex.org/W2160116837","https://openalex.org/W2480078828","https://openalex.org/W2527276685","https://openalex.org/W2588561483","https://openalex.org/W2604086375","https://openalex.org/W2751694392","https://openalex.org/W2911150227","https://openalex.org/W2952756630","https://openalex.org/W2963881378","https://openalex.org/W3104341624","https://openalex.org/W4248710273","https://openalex.org/W6639824700","https://openalex.org/W6727577265","https://openalex.org/W6764544140"],"related_works":["https://openalex.org/W3104750253","https://openalex.org/W3021239166","https://openalex.org/W4366341510","https://openalex.org/W2390936256","https://openalex.org/W2483429559","https://openalex.org/W2016385589","https://openalex.org/W2009559548","https://openalex.org/W2906397153","https://openalex.org/W2385445039","https://openalex.org/W3093723769"],"abstract_inverted_index":{"Our":[0],"goal":[1],"is":[2],"to":[3,101],"develop":[4],"technique":[5],"for":[6,92],"assessing":[7],"bathymetry":[8,68],"maps,":[9],"which":[10],"show":[11],"the":[12,15,32,58,77,81,93,103,115,120,126],"topography":[13],"of":[14,17,26,34,61,105,114],"floors":[16],"water-bodies,":[18],"using":[19],"satellite":[20,46,82],"or":[21],"aerial":[22],"imagery.":[23],"The":[24,90,112],"advent":[25],"deep":[27,63,108],"neural":[28],"networks":[29],"has":[30],"enabled":[31],"use":[33,60,104],"new":[35],"techniques":[36],"in":[37,56],"analysing":[38],"and":[39,84,99],"creating":[40],"depth":[41,86,132],"maps":[42],"from":[43,88],"high":[44],"resolution":[45],"images.":[47],"In":[48],"this":[49],"paper":[50],"we":[51],"report":[52],"a":[53,62,71,106],"pilot":[54],"study":[55],"exploring":[57],"potential":[59],"learning":[64,109],"architecture":[65],"by":[66,119],"framing":[67],"problem":[69],"as":[70,80],"pixel-wise":[72],"classification":[73],"task.":[74],"We":[75],"took":[76],"Sentinel-2":[78],"bands":[79],"image":[83],"independent":[85],"measurements":[87],"Humminbird\u2122data.":[89],"data":[91],"supervised":[94],"training":[95],"was":[96,117],"carefully":[97],"prepared":[98],"processed":[100],"facilitate":[102],"powerful":[107],"segmentation":[110],"models.":[111],"efficiency":[113],"model":[116],"quantified":[118],"average":[121],"F1-score":[122],"(Dice":[123],"score)":[124],"on":[125,130],"held":[127],"out":[128],"dataset":[129],"quantized":[131],"bands.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
