Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Object-Based Image Analysis (OBIA)× | Landvormpatroonmetrieken× | |
|---|---|---|
| Vakgebied≠ | Remote sensing | Ruimtelijke analyse |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 2010 | 1988 |
| Grondlegger≠ | Thomas Blaschke | R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS) |
| Type≠ | Image segmentation and classification pipeline | Quantitative landscape pattern description |
| Oorspronkelijke bron≠ | Blaschke, 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 ↗ |
| Aliassen | Geographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizi | landscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri |
| Verwant | 3 | 3 |
| Samenvatting≠ | Object-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. |
| ScholarGateGegevensset ↗ |
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