{"id":"https://openalex.org/W2767273378","doi":"https://doi.org/10.1109/icfsp.2017.8097153","title":"Polarimetrie SAR image classification based on deep belief network and superpixel segmentation","display_name":"Polarimetrie SAR image classification based on deep belief network and superpixel segmentation","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2767273378","doi":"https://doi.org/10.1109/icfsp.2017.8097153","mag":"2767273378"},"language":"en","primary_location":{"id":"doi:10.1109/icfsp.2017.8097153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp.2017.8097153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","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/A5078817021","display_name":"Shaojia Ge","orcid":"https://orcid.org/0000-0002-9655-1207"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaojia Ge","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101903796","display_name":"Jianchun Lu","orcid":"https://orcid.org/0000-0001-6214-813X"},"institutions":[{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianchun Lu","raw_affiliation_strings":["The Chinese People's Liberation Army, Troops, PLA"],"affiliations":[{"raw_affiliation_string":"The Chinese People's Liberation Army, Troops, PLA","institution_ids":["https://openalex.org/I4210160531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101434405","display_name":"Hong Gu","orcid":"https://orcid.org/0000-0001-5972-0561"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Gu","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073657617","display_name":"Zeshi Yuan","orcid":"https://orcid.org/0000-0002-2786-3741"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeshi Yuan","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101831645","display_name":"Weimin Su","orcid":"https://orcid.org/0000-0001-5752-7936"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weimin Su","raw_affiliation_strings":["School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078817021"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":2.1775,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89486851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"313","issue":null,"first_page":"114","last_page":"119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9778000116348267,"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":0.8243847489356995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7667332887649536},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6935732364654541},{"id":"https://openalex.org/keywords/deep-belief-network","display_name":"Deep belief network","score":0.5917699933052063},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.584831178188324},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5480527877807617},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5425025820732117},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.530867338180542},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.48078078031539917},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.47449350357055664},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44774019718170166},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40295159816741943},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36939507722854614}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8243847489356995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7667332887649536},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6935732364654541},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.5917699933052063},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.584831178188324},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5480527877807617},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5425025820732117},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.530867338180542},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.48078078031539917},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.47449350357055664},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44774019718170166},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40295159816741943},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36939507722854614}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icfsp.2017.8097153","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icfsp.2017.8097153","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 3rd International Conference on Frontiers of Signal Processing (ICFSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W1696305814","https://openalex.org/W2002466026","https://openalex.org/W2024807719","https://openalex.org/W2072128103","https://openalex.org/W2100495367","https://openalex.org/W2101690226","https://openalex.org/W2112130876","https://openalex.org/W2114578114","https://openalex.org/W2118246710","https://openalex.org/W2126168665","https://openalex.org/W2132012856","https://openalex.org/W2136922672","https://openalex.org/W2164296623","https://openalex.org/W2345055757","https://openalex.org/W4231109964","https://openalex.org/W6601785968"],"related_works":["https://openalex.org/W2906214541","https://openalex.org/W2513422012","https://openalex.org/W2897826427","https://openalex.org/W2133034788","https://openalex.org/W4367367217","https://openalex.org/W2792607040","https://openalex.org/W4210966920","https://openalex.org/W2156233651","https://openalex.org/W2550009779","https://openalex.org/W2783449176"],"abstract_inverted_index":{"Inspired":[0],"by":[1],"recent":[2],"successful":[3],"deep":[4],"learning":[5],"methods,":[6],"this":[7],"paper":[8],"presents":[9],"a":[10,51],"new":[11],"approach":[12,109],"for":[13],"polarimetric":[14],"synthetic":[15],"aperture":[16],"radar":[17],"(PolSAR)":[18],"image":[19],"classification.":[20],"It":[21],"combines":[22],"both":[23],"advantages":[24],"of":[25,62],"pixel-based":[26],"and":[27,117],"object-based":[28],"methods.":[29],"An":[30],"improved":[31],"simple":[32],"linear":[33],"iterative":[34],"clustering":[35],"(SLIC)":[36],"superpixel":[37],"segmentation":[38],"algorithm":[39],"is":[40,56,69,110],"used":[41],"to":[42,58,75,92],"obtain":[43],"spatial":[44,94],"information":[45,95],"in":[46,71,97],"the":[47,63,80,93,107,123],"PolSAR":[48,103],"image.":[49],"Then,":[50],"Deep":[52],"Belief":[53],"Network":[54],"(DBN)":[55],"introduced":[57],"make":[59],"full":[60],"use":[61],"limited":[64],"training":[65,115],"data":[66,104,116],"sets,":[67],"which":[68],"trained":[70],"an":[72],"unsupervised":[73],"manner":[74],"extract":[76],"high-level":[77],"features":[78],"from":[79],"unlabeled":[81],"pixels.":[82],"The":[83],"DBN's":[84],"preliminary":[85],"classification":[86,119],"results":[87,100],"are":[88],"finally":[89],"refined":[90],"according":[91],"contained":[96],"superpixels.":[98],"Experimental":[99],"over":[101],"real":[102],"show":[105],"that":[106],"proposed":[108],"more":[111],"efficient":[112],"with":[113,122],"less":[114],"higher":[118],"accuracy":[120],"compared":[121],"conventional":[124],"manners.":[125]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
