{"id":"https://openalex.org/W1894944488","doi":"https://doi.org/10.1109/isspit.2014.7300612","title":"Evaluation schema for SAR image Segmentation based on Swarm Optimization in Neutrosophic domain","display_name":"Evaluation schema for SAR image Segmentation based on Swarm Optimization in Neutrosophic domain","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1894944488","doi":"https://doi.org/10.1109/isspit.2014.7300612","mag":"1894944488"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2014.7300612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2014.7300612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/A5110623447","display_name":"P. Mangalraj","orcid":null},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P. Mangalraj","raw_affiliation_strings":["Indian Institute of Information Technology Allahabad, Allahabad, Uttar Pradesh, IN"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology Allahabad, Allahabad, Uttar Pradesh, IN","institution_ids":["https://openalex.org/I26072440"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058395204","display_name":"Rakesh Singala","orcid":null},"institutions":[{"id":"https://openalex.org/I91277730","display_name":"Maulana Azad National Institute of Technology","ror":"https://ror.org/026vtd268","country_code":"IN","type":"education","lineage":["https://openalex.org/I91277730"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rakesh Singala","raw_affiliation_strings":["MANIT-Bhopal, Bhopal, Madhya Pradesh, India"],"affiliations":[{"raw_affiliation_string":"MANIT-Bhopal, Bhopal, Madhya Pradesh, India","institution_ids":["https://openalex.org/I91277730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048089403","display_name":"Anupam Agrawal","orcid":"https://orcid.org/0000-0003-3392-5045"},"institutions":[{"id":"https://openalex.org/I26072440","display_name":"Indian Institute of Information Technology Allahabad","ror":"https://ror.org/03rgjt374","country_code":"IN","type":"education","lineage":["https://openalex.org/I26072440"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anupam Agrawal","raw_affiliation_strings":["IIT-Allahabad, Allahabad, Uttar Pradesh, India"],"affiliations":[{"raw_affiliation_string":"IIT-Allahabad, Allahabad, Uttar Pradesh, India","institution_ids":["https://openalex.org/I26072440"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110623447"],"corresponding_institution_ids":["https://openalex.org/I26072440"],"apc_list":null,"apc_paid":null,"fwci":0.4481,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66541311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"90","issue":null,"first_page":"000343","last_page":"000348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9713000059127808,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9713000059127808,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9036999940872192,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9027000069618225,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7826797962188721},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7427804470062256},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7350384593009949},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7337396144866943},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6299804449081421},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6154158711433411},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.613886833190918},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5660545825958252},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5546266436576843},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5163022875785828},{"id":"https://openalex.org/keywords/speckle-pattern","display_name":"Speckle pattern","score":0.4711011052131653},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.44807034730911255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4090227782726288},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12076854705810547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7826797962188721},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7427804470062256},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7350384593009949},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7337396144866943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6299804449081421},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6154158711433411},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.613886833190918},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5660545825958252},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5546266436576843},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5163022875785828},{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.4711011052131653},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.44807034730911255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4090227782726288},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12076854705810547}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit.2014.7300612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2014.7300612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1562558929","https://openalex.org/W1648369087","https://openalex.org/W1973068905","https://openalex.org/W2002814313","https://openalex.org/W2019410816","https://openalex.org/W2029235040","https://openalex.org/W2060175823","https://openalex.org/W2062612670","https://openalex.org/W2067809457","https://openalex.org/W2081749411","https://openalex.org/W2103875378","https://openalex.org/W2115780431","https://openalex.org/W2118573797","https://openalex.org/W2144317842","https://openalex.org/W2144494233","https://openalex.org/W2287814884","https://openalex.org/W2402846924","https://openalex.org/W2963972644","https://openalex.org/W3010084146","https://openalex.org/W4298857171","https://openalex.org/W4300106150","https://openalex.org/W6631638067","https://openalex.org/W6633708955","https://openalex.org/W6682642761"],"related_works":["https://openalex.org/W2065648684","https://openalex.org/W2009383287","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2055824452","https://openalex.org/W2121688719","https://openalex.org/W2727313114","https://openalex.org/W2016481886","https://openalex.org/W1989852278"],"abstract_inverted_index":{"The":[0,11,40,53,74,94],"present":[1],"paper":[2],"proposes":[3],"an":[4],"evaluation":[5,58,92],"schema":[6,59],"for":[7,30,60,78],"SAR":[8,14,63],"image":[9],"Segmentation.":[10],"segmentation":[12,43,61],"of":[13,62,72,101],"images":[15,64],"becomes":[16],"a":[17],"crucial":[18],"step":[19],"because":[20],"the":[21,28,31,57,70,84,90,99],"segmented":[22],"results":[23,86,95],"will":[24],"be":[25],"used":[26],"as":[27,51],"input":[29],"post-":[32],"processing":[33],"like":[34],"target":[35],"detection,":[36],"change":[37],"detection":[38],"applications.":[39],"preprocessing":[41],"task":[42],"is":[44,76],"highly":[45],"influenced":[46],"by":[47],"inherent":[48],"noise":[49],"known":[50],"speckle.":[52,73],"proposed":[54,91],"system":[55,75],"introduces":[56],"in":[65],"Neutrosophic":[66],"domain,":[67],"which":[68],"overcome":[69],"problem":[71],"evaluated":[77],"different":[79,102],"Swarm":[80],"Optimization":[81],"algorithms":[82],"and":[83],"promoting":[85],"are":[87,96],"obtained":[88],"through":[89],"schema.":[93],"discussed":[97],"on":[98],"basis":[100],"parameters.":[103]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
