השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח תמונה מבוסס-אובייקטים (OBIA)× | מדדי תבנית נוף× | |
|---|---|---|
| תחום≠ | חישה מרחוק | ניתוח מרחבי |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 2010 | 1988 |
| הוגה השיטה≠ | Thomas Blaschke | R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS) |
| סוג≠ | Image segmentation and classification pipeline | Quantitative landscape pattern description |
| מקור מכונן≠ | 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 ↗ |
| כינויים | Geographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizi | landscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri |
| קשורות | 3 | 3 |
| תקציר≠ | 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. |
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