{"id":"https://openalex.org/W2118987051","doi":"https://doi.org/10.1109/ssiai.2012.6202475","title":"Graph cut segmentation of sparsely sampled images with application to InSAR-measured changes in elevation","display_name":"Graph cut segmentation of sparsely sampled images with application to InSAR-measured changes in elevation","publication_year":2012,"publication_date":"2012-04-01","ids":{"openalex":"https://openalex.org/W2118987051","doi":"https://doi.org/10.1109/ssiai.2012.6202475","mag":"2118987051"},"language":"en","primary_location":{"id":"doi:10.1109/ssiai.2012.6202475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2012.6202475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Southwest Symposium on Image Analysis and Interpretation","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/A5069424363","display_name":"Michael Stuecheli","orcid":null},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Stuecheli","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA","Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, 22904, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, 22904, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039185908","display_name":"Andrea Vaccari","orcid":"https://orcid.org/0000-0002-3356-326X"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrea Vaccari","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA","Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, 22904, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, 22904, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034452294","display_name":"Scott T. Acton","orcid":"https://orcid.org/0000-0003-3288-1255"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott T. Acton","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA","Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, 22904, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, 22904, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.9522,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.98566147,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"27","issue":null,"first_page":"149","last_page":"152"},"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":0.9987999796867371,"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":0.9987999796867371,"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/T10535","display_name":"Landslides and related hazards","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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/T10644","display_name":"Cryospheric studies and observations","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.7512589693069458},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.741817057132721},{"id":"https://openalex.org/keywords/interferometric-synthetic-aperture-radar","display_name":"Interferometric synthetic aperture radar","score":0.6327481269836426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6164511442184448},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6111331582069397},{"id":"https://openalex.org/keywords/sinkhole","display_name":"Sinkhole","score":0.6065812706947327},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5508542060852051},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5223485231399536},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4969969093799591},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4760077893733978},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47323521971702576},{"id":"https://openalex.org/keywords/elevation","display_name":"Elevation (ballistics)","score":0.4245564341545105},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4126785397529602},{"id":"https://openalex.org/keywords/karst","display_name":"Karst","score":0.3337099552154541},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24026313424110413},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.23223426938056946},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.17524054646492004},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14010927081108093},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08734539151191711},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.08076304197311401}],"concepts":[{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.7512589693069458},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.741817057132721},{"id":"https://openalex.org/C22286887","wikidata":"https://www.wikidata.org/wiki/Q1666056","display_name":"Interferometric synthetic aperture radar","level":3,"score":0.6327481269836426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6164511442184448},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6111331582069397},{"id":"https://openalex.org/C49223487","wikidata":"https://www.wikidata.org/wiki/Q188734","display_name":"Sinkhole","level":3,"score":0.6065812706947327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5508542060852051},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5223485231399536},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4969969093799591},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4760077893733978},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47323521971702576},{"id":"https://openalex.org/C37054046","wikidata":"https://www.wikidata.org/wiki/Q641888","display_name":"Elevation (ballistics)","level":2,"score":0.4245564341545105},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4126785397529602},{"id":"https://openalex.org/C182348080","wikidata":"https://www.wikidata.org/wiki/Q16817","display_name":"Karst","level":2,"score":0.3337099552154541},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24026313424110413},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.23223426938056946},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.17524054646492004},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14010927081108093},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08734539151191711},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.08076304197311401},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssiai.2012.6202475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2012.6202475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Southwest Symposium on Image Analysis and Interpretation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.681.8722","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.681.8722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://viva-lab.ece.virginia.edu/publications/GraphCuts.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1970302608","https://openalex.org/W2047029664","https://openalex.org/W2098755713","https://openalex.org/W2121947440","https://openalex.org/W2123632763","https://openalex.org/W2129206142","https://openalex.org/W2134146185","https://openalex.org/W2141414687","https://openalex.org/W2155025309","https://openalex.org/W6674706989"],"related_works":["https://openalex.org/W2351692528","https://openalex.org/W595950036","https://openalex.org/W224429992","https://openalex.org/W1601599141","https://openalex.org/W2790616280","https://openalex.org/W2571670168","https://openalex.org/W4244710344","https://openalex.org/W4311937811","https://openalex.org/W2322866692","https://openalex.org/W2618297354"],"abstract_inverted_index":{"In":[0,29],"this":[1],"paper,":[2],"we":[3,36],"outline":[4],"an":[5],"algorithm":[6],"for":[7,33,73,95],"the":[8,30,50,59,83],"automatic":[9],"segmentation":[10,78],"of":[11,52,61,85,99],"sparse":[12],"data":[13],"in":[14,88],"order":[15],"to":[16,70,82],"detect":[17],"possible":[18],"terrain-deformation":[19],"phenomena.":[20],"Segmentation":[21],"is":[22,80],"accomplished":[23],"through":[24],"a":[25,38,96],"graph":[26,31],"cut":[27],"technique.":[28],"structure,":[32],"each":[34],"edge,":[35],"derive":[37],"unique":[39],"energy":[40,66],"by":[41],"combining":[42],"multiple":[43],"independent":[44],"energies":[45],"tailored":[46],"toward":[47],"accurately":[48],"locating":[49],"boundaries":[51],"spot-like,":[53],"subsiding":[54],"regions.":[55,90],"We":[56],"then":[57],"find":[58],"series":[60],"cuts":[62,72],"with":[63],"minimum":[64],"total":[65],"and":[67],"fit":[68],"splines":[69],"these":[71],"smooth":[74],"segment":[75],"boundaries.":[76],"The":[77],"approach":[79],"applied":[81],"problem":[84],"localizing":[86],"sinkholes":[87],"karst":[89],"Test":[91],"results":[92],"indicate":[93],"efficacy":[94],"sufficient":[97],"density":[98],"InSAR":[100],"features.":[101]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
