{"id":"https://openalex.org/W3036828293","doi":"https://doi.org/10.1007/s00521-020-05069-1","title":"SSNET: an improved deep hybrid network for hyperspectral image classification","display_name":"SSNET: an improved deep hybrid network for hyperspectral image classification","publication_year":2020,"publication_date":"2020-06-16","ids":{"openalex":"https://openalex.org/W3036828293","doi":"https://doi.org/10.1007/s00521-020-05069-1","mag":"3036828293"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-020-05069-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-020-05069-1","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-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/A5011702939","display_name":"Arati Paul","orcid":"https://orcid.org/0000-0003-0422-5656"},"institutions":[{"id":"https://openalex.org/I1311524620","display_name":"National Remote Sensing Centre","ror":"https://ror.org/0491y3t26","country_code":"IN","type":"government","lineage":["https://openalex.org/I1289461252","https://openalex.org/I1311524620","https://openalex.org/I3148377317"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Arati Paul","raw_affiliation_strings":["Regional Remote Sensing Centre-East, ISRO, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Regional Remote Sensing Centre-East, ISRO, Kolkata, India","institution_ids":["https://openalex.org/I1311524620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112604075","display_name":"Sanghamita Bhoumik","orcid":null},"institutions":[{"id":"https://openalex.org/I99601430","display_name":"Maulana Abul Kalam Azad University of Technology, West Bengal","ror":"https://ror.org/030tcae29","country_code":"IN","type":"education","lineage":["https://openalex.org/I99601430"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanghamita Bhoumik","raw_affiliation_strings":["Microelectronics and VLSI Technology, MAKAUT, Haringhata, West Bengal, India"],"affiliations":[{"raw_affiliation_string":"Microelectronics and VLSI Technology, MAKAUT, Haringhata, West Bengal, India","institution_ids":["https://openalex.org/I99601430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001172312","display_name":"Nabendu Chaki","orcid":"https://orcid.org/0000-0003-3242-680X"},"institutions":[{"id":"https://openalex.org/I106542073","display_name":"University of Calcutta","ror":"https://ror.org/01e7v7w47","country_code":"IN","type":"education","lineage":["https://openalex.org/I106542073"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nabendu Chaki","raw_affiliation_strings":["Computer Science and Engineering, University of Calcutta, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of Calcutta, Kolkata, India","institution_ids":["https://openalex.org/I106542073"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011702939"],"corresponding_institution_ids":["https://openalex.org/I1311524620"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":5.536,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.96138952,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"33","issue":"5","first_page":"1575","last_page":"1585"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9635000228881836,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.87018221616745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7661364674568176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7649304866790771},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7509150505065918},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7266046404838562},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6959118843078613},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6464922428131104},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6117263436317444},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5327152609825134},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5158345103263855},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.44972798228263855},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4446561336517334},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3631730079650879},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1057598888874054},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07456517219543457},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.05610707402229309}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.87018221616745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7661364674568176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7649304866790771},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7509150505065918},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7266046404838562},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6959118843078613},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6464922428131104},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6117263436317444},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5327152609825134},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5158345103263855},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44972798228263855},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4446561336517334},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3631730079650879},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1057598888874054},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07456517219543457},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.05610707402229309},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-020-05069-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-020-05069-1","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W189596042","https://openalex.org/W229472839","https://openalex.org/W1521436688","https://openalex.org/W1686810756","https://openalex.org/W1964325474","https://openalex.org/W1966580635","https://openalex.org/W1985973695","https://openalex.org/W2008094348","https://openalex.org/W2008847349","https://openalex.org/W2085527057","https://openalex.org/W2090424610","https://openalex.org/W2092869901","https://openalex.org/W2101711129","https://openalex.org/W2136251662","https://openalex.org/W2136922672","https://openalex.org/W2166923144","https://openalex.org/W2194775991","https://openalex.org/W2253590344","https://openalex.org/W2464755555","https://openalex.org/W2506684654","https://openalex.org/W2533102868","https://openalex.org/W2546686549","https://openalex.org/W2592962403","https://openalex.org/W2623518586","https://openalex.org/W2739846485","https://openalex.org/W2746325398","https://openalex.org/W2754356769","https://openalex.org/W2764220460","https://openalex.org/W2764276316","https://openalex.org/W2767651786","https://openalex.org/W2775507709","https://openalex.org/W2782517596","https://openalex.org/W2793645503","https://openalex.org/W2795061970","https://openalex.org/W2802683946","https://openalex.org/W2806437580","https://openalex.org/W2808098982","https://openalex.org/W2888119354","https://openalex.org/W2891395929","https://openalex.org/W2894561647","https://openalex.org/W2896847173","https://openalex.org/W2898381489","https://openalex.org/W2914331134","https://openalex.org/W2942454403","https://openalex.org/W2963150697","https://openalex.org/W2963446712","https://openalex.org/W3100011500","https://openalex.org/W3103856189","https://openalex.org/W3105357426","https://openalex.org/W4247093658"],"related_works":["https://openalex.org/W2022849497","https://openalex.org/W3081299480","https://openalex.org/W2407190427","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W3002446410","https://openalex.org/W4390224712","https://openalex.org/W4322096758","https://openalex.org/W2748667022","https://openalex.org/W3211770882"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
