{"id":"https://openalex.org/W2105356768","doi":"https://doi.org/10.1109/igarss.2007.4423319","title":"Change detection using the object features","display_name":"Change detection using the object features","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2105356768","doi":"https://doi.org/10.1109/igarss.2007.4423319","mag":"2105356768"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2007.4423319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045063305","display_name":"Irmgard Niemeyer","orcid":"https://orcid.org/0000-0003-4793-5439"},"institutions":[{"id":"https://openalex.org/I61893789","display_name":"TU Bergakademie Freiberg","ror":"https://ror.org/031vc2293","country_code":"DE","type":"education","lineage":["https://openalex.org/I61893789"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Irmgard Niemeyer","raw_affiliation_strings":["TU Bergakademie Freiberg, Institute of Mine-Surveying and Geodesy, Freiberg, Germany","TU Bergakademie Freiberg, Freiberg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Bergakademie Freiberg, Institute of Mine-Surveying and Geodesy, Freiberg, Germany","institution_ids":["https://openalex.org/I61893789"]},{"raw_affiliation_string":"TU Bergakademie Freiberg, Freiberg","institution_ids":["https://openalex.org/I61893789"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070579744","display_name":"Prashanth Marpu","orcid":"https://orcid.org/0000-0003-3335-1790"},"institutions":[{"id":"https://openalex.org/I61893789","display_name":"TU Bergakademie Freiberg","ror":"https://ror.org/031vc2293","country_code":"DE","type":"education","lineage":["https://openalex.org/I61893789"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Prashanth Reddy Marpu","raw_affiliation_strings":["TU Bergakademie Freiberg, Institute of Mine-Surveying and Geodesy, Freiberg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Bergakademie Freiberg, Institute of Mine-Surveying and Geodesy, Freiberg, Germany","institution_ids":["https://openalex.org/I61893789"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014894970","display_name":"Sven Nussbaum","orcid":null},"institutions":[{"id":"https://openalex.org/I171892758","display_name":"Forschungszentrum J\u00fclich","ror":"https://ror.org/02nv7yv05","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I171892758"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sven Nussbaum","raw_affiliation_strings":["Systems Analysis and Technology Evaluation, Institute of Energy Research Research Centre Juelich, Julich, Germany","Systems Analysis and Technology Evaluation, Institute of Energy Research (IEF), Research Centre Juelich, D-52425, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Analysis and Technology Evaluation, Institute of Energy Research Research Centre Juelich, Julich, Germany","institution_ids":["https://openalex.org/I171892758"]},{"raw_affiliation_string":"Systems Analysis and Technology Evaluation, Institute of Energy Research (IEF), Research Centre Juelich, D-52425, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9288,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.73075839,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"5","issue":null,"first_page":"2374","last_page":"2377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.992900013923645,"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"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/change-detection","display_name":"Change detection","score":0.8612860441207886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7430682182312012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7042551040649414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6803151369094849},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6438595652580261},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6096762418746948},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5588576793670654},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5459363460540771},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.49656111001968384},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.48006686568260193},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.44932278990745544},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4067133069038391},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19516894221305847},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12650352716445923}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.8612860441207886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7430682182312012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7042551040649414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6803151369094849},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6438595652580261},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6096762418746948},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5588576793670654},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5459363460540771},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.49656111001968384},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.48006686568260193},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.44932278990745544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4067133069038391},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19516894221305847},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12650352716445923},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2007.4423319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2007.4423319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W60437974","https://openalex.org/W1972402702","https://openalex.org/W2006383776","https://openalex.org/W2094510831","https://openalex.org/W2106870620","https://openalex.org/W2111975408","https://openalex.org/W2160544350","https://openalex.org/W2162480849","https://openalex.org/W2165651437","https://openalex.org/W2981849677","https://openalex.org/W4300989607","https://openalex.org/W6684197827"],"related_works":["https://openalex.org/W747394405","https://openalex.org/W1987236514","https://openalex.org/W174653542","https://openalex.org/W2381153750","https://openalex.org/W2041235277","https://openalex.org/W2088220880","https://openalex.org/W2022021973","https://openalex.org/W3121354342","https://openalex.org/W2060952610","https://openalex.org/W2568858292"],"abstract_inverted_index":{"For":[0],"the":[1,14,17,38,54,58,74,81,94,101],"detection":[2,47,70,77],"of":[3,16,103],"changes,":[4],"several":[5],"statistical":[6],"techniques":[7],"exist.":[8],"When":[9],"adopted":[10],"to":[11,30],"high-resolution":[12],"imagery,":[13],"results":[15],"traditional":[18],"pixel-based":[19],"algorithms":[20],"are":[21,29,67,90],"often":[22],"limited.":[23],"Especially":[24],"if":[25],"small":[26],"structural":[27],"changes":[28,104],"be":[31],"detected,":[32],"objectbased":[33],"procedures":[34],"show":[35],"promises.":[36],"In":[37],"given":[39],"paper,":[40],"we":[41],"propose":[42],"an":[43],"unsupervised":[44],"object-based":[45],"change":[46,49,88],"and":[48,63],"classification":[50,102],"approach":[51],"based":[52],"on":[53],"object":[55,65],"features.":[56],"Following":[57],"automatic":[59],"pre-processing,":[60],"image":[61],"objects":[62,89],"their":[64],"features":[66],"extracted.":[68],"Change":[69],"is":[71,105],"performed":[72],"by":[73,80,107],"multivariate":[75],"alteration":[76],"(MAD),":[78],"accompanied":[79],"maximum":[82,96],"autocorrelation":[83],"factor":[84],"(MAF)":[85],"transformation.":[86],"The":[87],"then":[91],"classified":[92],"using":[93],"fuzzy":[95],"likelihood":[97],"estimation":[98],"(FMLE).":[99],"Finally":[100],"improved":[106],"probabilistic":[108],"label":[109],"relaxation.":[110]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
