{"id":"https://openalex.org/W3019508748","doi":"https://doi.org/10.1109/icort46471.2019.9069619","title":"Enhanced MRF based Super Resolution Method for Remote Sensing Images","display_name":"Enhanced MRF based Super Resolution Method for Remote Sensing Images","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W3019508748","doi":"https://doi.org/10.1109/icort46471.2019.9069619","mag":"3019508748"},"language":"en","primary_location":{"id":"doi:10.1109/icort46471.2019.9069619","doi":"https://doi.org/10.1109/icort46471.2019.9069619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icort46471.2019.9069619","pdf_url":null,"source":{"id":"https://openalex.org/S4306498763","display_name":"International Conference on Range Technology (ICORT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Range Technology (ICORT)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5004587088","display_name":"Shashikant Deepak","orcid":"https://orcid.org/0000-0003-0444-6889","observed_orcids":["https://orcid.org/0000-0003-0444-6889"]},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shashikant Deepak","raw_affiliation_strings":["Dept. Of Electrical Engineering, National Institute of Technology Rourkela, Rourkela, INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Of Electrical Engineering, National Institute of Technology Rourkela, Rourkela, INDIA","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037743544","display_name":"Dipti Patra","orcid":"https://orcid.org/0000-0002-6094-3735","observed_orcids":["https://orcid.org/0000-0002-6094-3735"]},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dipti Patra","raw_affiliation_strings":["Dept. Of Electrical Engineering, National Institute of Technology Rourkela, Rourkela, INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. Of Electrical Engineering, National Institute of Technology Rourkela, Rourkela, INDIA","institution_ids":["https://openalex.org/I16292982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16292982"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9526000022888184,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9526000022888184,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.01140000019222498,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.007000000216066837,"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/image-super-resolution","display_name":"image super-resolution","score":0.8899999856948853},{"id":"https://openalex.org/keywords/remote-sensing-imagery","display_name":"remote sensing images","score":0.9319999814033508},{"id":"https://openalex.org/keywords/markov-random-fields","display_name":"Markov random fields","score":0.9470000267028809},{"id":"https://openalex.org/keywords/compatibility-function","display_name":"compatibility function","score":0.7390000224113464},{"id":"https://openalex.org/keywords/learning-based-super-resolution","display_name":"learning-based super-resolution","score":0.6179999709129333}],"concepts":[{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.8805809020996094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7177485227584839},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.662554919719696},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6425963044166565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5832167863845825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5529513359069824},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.541987955570221},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.49860072135925293},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4917788803577423},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.47870969772338867},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4770863950252533},{"id":"https://openalex.org/C129782007","wikidata":"https://www.wikidata.org/wiki/Q162886","display_name":"Euclidean geometry","level":2,"score":0.4683477282524109},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.45929211378097534},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.44538959860801697},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.42470628023147583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32106053829193115},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2898349165916443},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2325638234615326},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.1719786822795868},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07495909929275513},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icort46471.2019.9069619","doi":"https://doi.org/10.1109/icort46471.2019.9069619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icort46471.2019.9069619","pdf_url":null,"source":{"id":"https://openalex.org/S4306498763","display_name":"International Conference on Range Technology (ICORT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Range Technology (ICORT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W20660258","https://openalex.org/W1974973438","https://openalex.org/W1978692783","https://openalex.org/W2018459209","https://openalex.org/W2024668293","https://openalex.org/W2083432776","https://openalex.org/W2114398647","https://openalex.org/W2121058967","https://openalex.org/W2142431032","https://openalex.org/W2273325600"],"related_works":["https://openalex.org/W2735784316","https://openalex.org/W1991193436","https://openalex.org/W2548354309","https://openalex.org/W2807865539","https://openalex.org/W3217724448","https://openalex.org/W2793026073","https://openalex.org/W4407316999","https://openalex.org/W2900875253","https://openalex.org/W4403507455","https://openalex.org/W4213303589"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3],"learning":[4],"based":[5,11],"enhanced":[6],"Markov":[7],"Random":[8],"Field":[9],"(MRF)":[10],"super":[12],"resolution":[13,93],"reconstruction":[14],"(SRR)":[15],"method":[16,103],"for":[17,39],"remote":[18],"sensing":[19],"image":[20,49],"with":[21],"embedded":[22],"Image":[23],"Euclidean":[24,53],"distance":[25],"(IMED)":[26],"is":[27,37,82],"proposed.":[28],"A":[29],"robust":[30],"and":[31,44,70,90],"transformation":[32],"invariant":[33],"similarity":[34,47],"metric":[35],"IMED":[36,55],"integrated":[38],"modelling":[40],"compatibility":[41],"functions":[42],"(CF)":[43],"finding":[45],"the":[46,59,67,86,101,107],"between":[48],"patches.":[50,95],"Unlike":[51],"traditional":[52],"distance,":[54],"takes":[56],"into":[57],"consideration":[58],"spatial":[60],"relationships":[61],"of":[62,106],"pixels":[63],"as":[64,66],"well":[65],"smallest":[68],"deformation":[69],"therefore":[71,91],"provides":[72],"reasonable":[73],"result.":[74],"Further,":[75],"an":[76],"iterative":[77],"belief":[78],"propagation":[79],"(BP)":[80],"algorithm":[81],"used":[83],"to":[84],"find":[85],"optimal":[87],"candidate":[88],"patches":[89],"high":[92],"(HR)":[94],"The":[96],"experimental":[97],"results":[98],"demonstrate":[99],"that":[100],"proposed":[102],"outperforms":[104],"some":[105],"state-of-the-art":[108],"methods.":[109]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2020-05-01T00:00:00"}
