השוואת שיטות
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| מדדי תבנית נוף× | ניתוח תמונה מבוסס-אובייקטים (OBIA)× | |
|---|---|---|
| תחום≠ | ניתוח מרחבי | חישה מרחוק |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 1988 | 2010 |
| הוגה השיטה≠ | R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS) | Thomas Blaschke |
| סוג≠ | Quantitative landscape pattern description | Image segmentation and classification pipeline |
| מקור מכונן≠ | O'Neill, R. V., et al. (1988). Indices of landscape pattern. Landscape Ecology, 1(3), 153–162. DOI ↗ | Blaschke, T. (2010). Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1), 2–16. DOI ↗ |
| כינויים | landscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri | Geographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizi |
| קשורות | 3 | 3 |
| תקציר≠ | 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. | 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. |
| ScholarGateמערך נתונים ↗ |
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