{"id":"https://openalex.org/W2007621462","doi":"https://doi.org/10.1109/tip.2015.2405335","title":"Spatial Coherence-Based Batch-Mode Active Learning for Remote Sensing Image Classification","display_name":"Spatial Coherence-Based Batch-Mode Active Learning for Remote Sensing Image Classification","publication_year":2015,"publication_date":"2015-02-24","ids":{"openalex":"https://openalex.org/W2007621462","doi":"https://doi.org/10.1109/tip.2015.2405335","mag":"2007621462","pmid":"https://pubmed.ncbi.nlm.nih.gov/25861083"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2015.2405335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2405335","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5010856973","display_name":"Qian Shi","orcid":"https://orcid.org/0000-0002-1276-0352"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Shi","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060042752","display_name":"Bo Du","orcid":"https://orcid.org/0000-0002-0059-8458"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Du","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100673818","display_name":"Liangpei Zhang","orcid":"https://orcid.org/0000-0001-6890-3650"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangpei Zhang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210118728"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.7549,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.98771128,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"24","issue":"7","first_page":"2037","last_page":"2050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9731000065803528,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9444000124931335,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7264022827148438},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.6272103190422058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6087460517883301},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.601730465888977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5357801914215088},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5327607989311218},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.5281016230583191},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.516816258430481},{"id":"https://openalex.org/keywords/batch-processing","display_name":"Batch processing","score":0.45048192143440247},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4222424328327179},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38404369354248047},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2816390097141266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19148489832878113},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07695174217224121}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7264022827148438},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.6272103190422058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6087460517883301},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.601730465888977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5357801914215088},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5327607989311218},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.5281016230583191},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.516816258430481},{"id":"https://openalex.org/C172658912","wikidata":"https://www.wikidata.org/wiki/Q661613","display_name":"Batch processing","level":2,"score":0.45048192143440247},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4222424328327179},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38404369354248047},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2816390097141266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19148489832878113},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07695174217224121},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2015.2405335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2405335","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:25861083","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25861083","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1787015647","display_name":null,"funder_award_id":"41431175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7947832955","display_name":"\u7a00\u758f\u8868\u8fbe\u548c\u8de8\u9886\u57df\u5b66\u4e60\u7684\u9ad8\u5149\u8c31\u9065\u611f\u56fe\u50cf\u4e9a\u50cf\u5143\u76ee\u6807\u63a2\u6d4b\u7814\u7a76","funder_award_id":"61471274","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W229472839","https://openalex.org/W1483816357","https://openalex.org/W1513874326","https://openalex.org/W1514940655","https://openalex.org/W1528361845","https://openalex.org/W1599935123","https://openalex.org/W1845402413","https://openalex.org/W1964335437","https://openalex.org/W1965888395","https://openalex.org/W1968555645","https://openalex.org/W1969790106","https://openalex.org/W1978633512","https://openalex.org/W1981401677","https://openalex.org/W1986494726","https://openalex.org/W1998030734","https://openalex.org/W2016860790","https://openalex.org/W2018770010","https://openalex.org/W2022686119","https://openalex.org/W2025263547","https://openalex.org/W2043441451","https://openalex.org/W2046373373","https://openalex.org/W2065383075","https://openalex.org/W2067191022","https://openalex.org/W2080021732","https://openalex.org/W2082397227","https://openalex.org/W2084028080","https://openalex.org/W2097089247","https://openalex.org/W2098203240","https://openalex.org/W2100299929","https://openalex.org/W2101365302","https://openalex.org/W2101927381","https://openalex.org/W2113464037","https://openalex.org/W2114691401","https://openalex.org/W2115305054","https://openalex.org/W2120140628","https://openalex.org/W2129223315","https://openalex.org/W2132525508","https://openalex.org/W2135892731","https://openalex.org/W2139573966","https://openalex.org/W2149107824","https://openalex.org/W2150045166","https://openalex.org/W2153633422","https://openalex.org/W2153635508","https://openalex.org/W2154874087","https://openalex.org/W2158994553","https://openalex.org/W2162815831","https://openalex.org/W2164690393","https://openalex.org/W2169027522","https://openalex.org/W2170426384","https://openalex.org/W2183457690","https://openalex.org/W2506684654","https://openalex.org/W2903158431","https://openalex.org/W2949071206","https://openalex.org/W4250800088","https://openalex.org/W4285719527","https://openalex.org/W6628964739","https://openalex.org/W6630965568","https://openalex.org/W6637241018","https://openalex.org/W6638701278","https://openalex.org/W6655195918","https://openalex.org/W6686311551"],"related_works":["https://openalex.org/W2380625638","https://openalex.org/W2390269809","https://openalex.org/W3161321444","https://openalex.org/W2549765251","https://openalex.org/W2138214894","https://openalex.org/W3027394838","https://openalex.org/W134976887","https://openalex.org/W1582206143","https://openalex.org/W2734888972","https://openalex.org/W2073915814"],"abstract_inverted_index":{"Batch-mode":[0],"active":[1],"learning":[2],"(AL)":[3],"approaches":[4],"are":[5],"dedicated":[6],"to":[7,59,116],"the":[8,33,43,49,53,60,65,85,90,99,103,121,140,156,159,164],"training":[9,54],"sample":[10],"set":[11],"selection":[12],"for":[13,39,84,139],"classification,":[14],"regression,":[15],"and":[16,35,88,128],"retrieval":[17],"problems,":[18],"where":[19],"a":[20,72,109,126,133],"batch":[21],"of":[22,92,120,158],"unlabeled":[23],"samples":[24],"is":[25,82,106,114,137],"queried":[26],"at":[27],"each":[28],"iteration":[29],"by":[30,108],"considering":[31],"both":[32],"uncertainty":[34],"diversity":[36,86],"criteria.":[37],"However,":[38],"remote":[40,150],"sensing":[41,151],"applications,":[42],"conventional":[44],"methods":[45],"do":[46],"not":[47],"consider":[48],"spatial":[50,73,104],"coherence":[51,105],"between":[52],"samples,":[55],"which":[56,113],"will":[57],"lead":[58],"unnecessary":[61],"cost.":[62],"Based":[63],"on":[64],"above":[66],"two":[67,148],"points,":[68],"this":[69],"paper":[70],"proposes":[71],"coherence-based":[74],"batch-mode":[75],"AL":[76],"method.":[77],"First,":[78],"mean":[79,141],"shift":[80,142],"clustering":[81],"used":[83,115],"criterion,":[87],"thus":[89],"number":[91],"new":[93,122,134],"queries":[94],"can":[95],"be":[96],"varied":[97],"in":[98],"different":[100],"iterations.":[101],"Second,":[102],"represented":[107],"two-level":[110],"segmentation":[111,131],"map":[112],"automatically":[117],"label":[118],"part":[119],"queries.":[123],"To":[124],"get":[125],"stable":[127],"correct":[129],"second-level":[130],"map,":[132],"merging":[135],"strategy":[136],"proposed":[138,160],"segmentation.":[143],"The":[144],"experimental":[145],"results":[146],"with":[147,163],"real":[149],"image":[152],"data":[153],"sets":[154],"confirm":[155],"effectiveness":[157],"techniques,":[161],"compared":[162],"other":[165],"state-of-the-art":[166],"methods.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":5}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}