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Objektově orientovaná analýza obrazu (OBIA)×Metriky krajinných struktur×
OborDálkový průzkum ZeměProstorová analýza
RodinaProcess / pipelineProcess / pipeline
Rok vzniku20101988
TvůrceThomas BlaschkeR. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)
TypImage segmentation and classification pipelineQuantitative landscape pattern description
Původní zdrojBlaschke, 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 ↗
Další názvyGeographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizilandscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri
Příbuzné33
ShrnutíObject-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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ScholarGatePorovnat metody: Object-Based Image Analysis · Landscape Metrics. Získáno 2026-06-17 z https://scholargate.app/cs/compare