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Analiza Imaginilor Bazată pe Obiecte (OBIA)×Metrici de modelare a peisajului×
DomeniuTeledetecțieAnaliză spațială
FamilieProcess / pipelineProcess / pipeline
Anul apariției20101988
Autorul originalThomas BlaschkeR. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)
TipImage segmentation and classification pipelineQuantitative landscape pattern description
Sursa seminalăBlaschke, T. (2010). Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1), 2–16. DOI ↗O'Neill, R. V., et al. (1988). Indices of landscape pattern. Landscape Ecology, 1(3), 153–162. DOI ↗
Denumiri alternativeGeographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizilandscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri
Înrudite33
RezumatObject-Based Image Analysis (OBIA) is a remote sensing image processing paradigm that groups pixels into meaningful image objects before classification, rather than analysing each pixel independently. Formally articulated and consolidated by Thomas Blaschke in his landmark 2010 ISPRS review, OBIA draws on multiresolution segmentation algorithms and combines spectral, spatial, contextual, and textural object attributes to produce semantically rich land-cover maps from high-resolution imagery.Landscape metrics are quantitative indices that describe the composition and spatial configuration of a categorical map — typically land cover — at the patch, class, and whole-landscape levels. Developed in landscape ecology (O'Neill and colleagues, 1988) and made widely usable by the FRAGSTATS software, they turn maps into numbers like patch density, edge density, fragmentation, diversity, and connectivity for ecological, planning, and change analysis.
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ScholarGateCompară metode: Object-Based Image Analysis · Landscape Metrics. Preluat la 2026-06-17 de pe https://scholargate.app/ro/compare