{"id":"https://openalex.org/W1969278576","doi":"https://doi.org/10.1109/igarss.2014.6946786","title":"Graph-cut segmentation of polarimetric SAR images","display_name":"Graph-cut segmentation of polarimetric SAR images","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1969278576","doi":"https://doi.org/10.1109/igarss.2014.6946786","mag":"1969278576"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6946786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","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/A5025073736","display_name":"Ronny H\u00e4nsch","orcid":"https://orcid.org/0000-0002-2936-6765"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ronny Hansch","raw_affiliation_strings":["Computer Vision & Remote Sensing, Technical University of Berlin, Berlin, Germany","Technical University of Berlin, Computer Vision & Remote Sensing, Marchstr.23, MAR6-5, 10555 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision & Remote Sensing, Technical University of Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"Technical University of Berlin, Computer Vision & Remote Sensing, Marchstr.23, MAR6-5, 10555 Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081055268","display_name":"Olaf Hellwich","orcid":"https://orcid.org/0000-0002-2871-9266"},"institutions":[{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Olaf Hellwich","raw_affiliation_strings":["Computer Vision & Remote Sensing, Technical University of Berlin, Berlin, Germany","Technical University of Berlin, Computer Vision & Remote Sensing, Marchstr.23, MAR6-5, 10555 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Vision & Remote Sensing, Technical University of Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]},{"raw_affiliation_string":"Technical University of Berlin, Computer Vision & Remote Sensing, Marchstr.23, MAR6-5, 10555 Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100442218","display_name":"Xi Wang","orcid":"https://orcid.org/0000-0001-5442-1116"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, P.R. China","Shanghai Jiao Tong University, 800 Dong Chuan Road, 200240 Shanghai, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, 800 Dong Chuan Road, 200240 Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":19.8101,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.98610487,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"37","issue":null,"first_page":"1733","last_page":"1736"},"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":1.0,"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":1.0,"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":0.9995999932289124,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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":0.7437236905097961},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7242368459701538},{"id":"https://openalex.org/keywords/wishart-distribution","display_name":"Wishart distribution","score":0.7192938923835754},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6787818670272827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6394162178039551},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6066818833351135},{"id":"https://openalex.org/keywords/polarimetry","display_name":"Polarimetry","score":0.6017622351646423},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5769009590148926},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5342985987663269},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.5249038934707642},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.46203094720840454},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43816226720809937},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.43519651889801025},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.2762081027030945},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.2565333843231201}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7437236905097961},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7242368459701538},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.7192938923835754},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6787818670272827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6394162178039551},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6066818833351135},{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.6017622351646423},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5769009590148926},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5342985987663269},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.5249038934707642},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.46203094720840454},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43816226720809937},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.43519651889801025},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.2762081027030945},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.2565333843231201},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2014.6946786","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1947738257","https://openalex.org/W1974141535","https://openalex.org/W1975288608","https://openalex.org/W1978602575","https://openalex.org/W1985194020","https://openalex.org/W2074866567","https://openalex.org/W2078985447","https://openalex.org/W2090664287","https://openalex.org/W2095896231","https://openalex.org/W2100024934","https://openalex.org/W2101807845","https://openalex.org/W2119300483","https://openalex.org/W2138149909","https://openalex.org/W2139538566","https://openalex.org/W2149396887","https://openalex.org/W6640863139"],"related_works":["https://openalex.org/W2065601395","https://openalex.org/W2123581770","https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W2387793296"],"abstract_inverted_index":{"Segmentation":[0],"of":[1,14,34,44,82,89,114,117],"Synthetic":[2],"Aperture":[3],"Radar":[4],"(SAR)":[5],"images":[6,47],"is":[7,72,98],"often":[8],"only":[9],"understood":[10],"as":[11],"the":[12,15,35,41,65,95,118],"partitioning":[13],"image":[16,37],"into":[17],"rather":[18],"small":[19],"regions":[20],"which":[21],"are":[22,107],"homogeneous":[23],"with":[24,85],"respect":[25],"to":[26,40,100],"scattering":[27],"processes.":[28],"This":[29],"paper":[30],"proposes":[31],"an":[32],"adaption":[33],"graph-cut":[36],"segmentation":[38,57],"framework":[39,97],"unique":[42],"characteristics":[43],"polarimetric":[45,76,119],"SAR":[46,77],"by":[48,112],"using":[49],"a":[50,86,115],"Wishart-distribution":[51],"based":[52],"distance":[53],"measure":[54],"for":[55,79,109],"local":[56],"cues":[58],"and":[59,84],"simple,":[60],"real-valued":[61],"features":[62],"derived":[63],"from":[64],"complex-valued":[66],"coherency":[67],"matrix.":[68],"The":[69,91],"proposed":[70,96],"method":[71],"evaluated":[73],"on":[74],"different":[75,80],"images,":[78],"objects":[81],"interest,":[83],"wide":[87],"range":[88],"parameters.":[90],"results":[92,106],"show":[93],"that":[94],"able":[99],"derive":[101],"accurate":[102],"object/non-object":[103],"segmentations.":[104],"Best":[105],"obtained":[108],"forest":[110],"areas":[111],"usage":[113],"log-transform":[116],"intensities.":[120]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
