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Line 48: {{anchor\|GEOBIA}}When applied to earth images, OBIA is known as ''Geographic Object-Based Image Analysis'' (GEOBIA), defined as "a sub-discipline of [[geoinformation]] science devoted to (...) partitioning [[remote sensing]] (RS) imagery into meaningful image-objects, and assessing their characteristics through spatial, spectral and temporal scale".<ref>G.J. Hay & G. Castilla: ''Geographic Object-Based Image Analysis (GEOBIA): A new name for a new discipline.'' In: T. Blaschke, S. Lang & G. Hay (eds.): Object-Based Image Analysis – Spatial Concepts for Knowledge-Driven Remote Sensing Applications. Lecture Notes in Geoinformation and Cartography, 18. Springer, Berlin/Heidelberg, Germany: 75-89 (2008)</ref><ref name="Blaschke Hay Kelly Lang 2014 pp. 180–191">{{cite journal \| last1=Blaschke \| first1=Thomas \| last2=Hay \| first2=Geoffrey J. \| last3=Kelly \| first3=Maggi \| last4=Lang \| first4=Stefan \| last5=Hofmann \| first5=Peter \| last6=Addink \| first6=Elisabeth \| last7=Queiroz Feitosa \| first7=Raul \| last8=van der Meer \| first8=Freek \| last9=van der Werff \| first9=Harald \| last10=van Coillie \| first10=Frieke \| last11=Tiede \| first11=Dirk \| title=Geographic Object-Based Image Analysis – Towards a new paradigm \| journal=ISPRS Journal of Photogrammetry and Remote Sensing \| publisher=Elsevier BV \| volume=87 \| year=2014 \| issue=100 \| issn=0924-2716 \| doi=10.1016/j.isprsjprs.2013.09.014 \| pages=180–191\| pmid=24623958 \| pmc=3945831 \| bibcode=2014JPRS...87..180B \| doi-access=free }}</ref> The international GEOBIA conference has been held biannually since 2006.<ref>[http://www.mdpi.com/journal/remotesensing/special_issues/geobia] {{Bare URL inline\|date=December 2021}}</ref> Object-based image analysis is also applied in other fields, such as cell biology or medicine. It can for instance detect changes of cellular shapes in the process of cell differentiation.<ref>{{Cite journal\|last1=Salzmann\|first1=M.\|last2=Hoesel\|first2=B.\|last3=Haase\|first3=M.\|last4=Mussbacher\|first4=M.\|last5=Schrottmaier\|first5=W. C.\|last6=Kral-Pointner\|first6=J. B.\|last7=Finsterbusch\|first7=M.\|last8=Mazharian\|first8=A.\|last9=Assinger\|first9=A.\|date=2018-02-20\|title=A novel method for automated assessment of megakaryocyte differentiation and proplatelet formation\|journal=Platelets\|volume=29\|issue=4\|pages=357–364\|doi=10.1080/09537104.2018.1430359\|issn=1369-1635\|pmid=29461915\|s2cid=3785563\|url=https://research.birmingham.ac.uk/portal/files/48276169/A_novel_method_for_automated_assessment_of_megakaryocyte_differentiation_and_proplatelet_formation.pdf\|doi-access=free}}</ref> Line 75: * ''Quantitative Image Analysis of Microstructures'' by H.E. Exner & H.P. Hougardy, DGM Informationsgesellschaft mbH, {{ISBN\|3-88355-132-5}} (1988). * "Metallographic and Materialographic Specimen Preparation, Light Microscopy, Image Analysis and Hardness Testing", Kay Geels in collaboration with Struers A/S, ASTM International 2006. {{Authority control}}

Image analysis: Difference between revisions