{"id":"https://openalex.org/W2546736960","doi":"https://doi.org/10.1109/igarss.2016.7729289","title":"Dryland summer crop classification using multi-temporal RADARSAT-2 images and objects information from optical image","display_name":"Dryland summer crop classification using multi-temporal RADARSAT-2 images and objects information from optical image","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2546736960","doi":"https://doi.org/10.1109/igarss.2016.7729289","mag":"2546736960"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","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/A5089748140","display_name":"Shuang Zhu","orcid":"https://orcid.org/0000-0001-7667-4093"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210152042","display_name":"Beijing Polytechnic","ror":"https://ror.org/03xgzn792","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Zhu","raw_affiliation_strings":["Beijing Polytechnic College, Beijing, China","College of Resources Science and Technology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Polytechnic College, Beijing, China","institution_ids":["https://openalex.org/I4210152042"]},{"raw_affiliation_string":"College of Resources Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101851035","display_name":"Jinshui Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinshui Zhang","raw_affiliation_strings":["College of Resources Science and Technology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Resources Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044694978","display_name":"Guanyuan Shuai","orcid":"https://orcid.org/0000-0003-0833-3718"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanyuan Shuai","raw_affiliation_strings":["College of Resources Science and Technology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Resources Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100383983","display_name":"Hongli Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongli Liu","raw_affiliation_strings":["College of Resources Science and Technology, Beijing Normal University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Resources Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25852774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1142","last_page":"1145"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9980999827384949,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9973999857902527,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6632257699966431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6079843640327454},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5906226634979248},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5766828060150146},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.489303320646286},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4862619638442993},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4541371464729309},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44455254077911377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42534133791923523},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.19378963112831116}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6632257699966431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6079843640327454},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5906226634979248},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5766828060150146},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.489303320646286},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4862619638442993},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4541371464729309},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44455254077911377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42534133791923523},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.19378963112831116}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2032393651","https://openalex.org/W2072981903","https://openalex.org/W2097272115","https://openalex.org/W2133989913","https://openalex.org/W2149520480","https://openalex.org/W2154472715"],"related_works":["https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W2922442631","https://openalex.org/W2053596378","https://openalex.org/W1982025852","https://openalex.org/W2168523118","https://openalex.org/W2106540031","https://openalex.org/W2047970610","https://openalex.org/W3089080437"],"abstract_inverted_index":{"This":[0],"paper":[1],"has":[2],"proposed":[3,37,59,79],"a":[4],"new":[5],"method":[6,38,44,60,80],"that":[7,57,77],"integrates":[8],"the":[9,20,36,58,64,71,78],"advantage":[10],"of":[11,22,70],"optical":[12,87],"image":[13],"for":[14,25,51,83],"delineating":[15],"land":[16],"surface":[17],"boundaries":[18],"and":[19,39,42,67,88],"superiority":[21],"PolSAR":[23,90],"data":[24],"obtaining":[26],"corn":[27,52],"information":[28],"despite":[29],"bad":[30],"weather":[31],"conditions.":[32],"The":[33,54],"comparison":[34],"between":[35],"both":[40],"pixel-":[41],"object-based":[43],"was":[45,81],"made":[46],"to":[47],"test":[48],"their":[49],"performance":[50],"classification.":[53],"analysis":[55],"shows":[56],"can":[61],"significantly":[62],"improve":[63],"overall":[65],"accuracy":[66],"kappa":[68],"value":[69],"other":[72],"two":[73],"methods,":[74],"which":[75],"indicates":[76],"suitable":[82],"crop":[84],"mapping":[85],"using":[86],"Radarsat-2":[89],"data.":[91]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
