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| تحليل الصور القائم على الكائنات (OBIA)× | مقاييس نمط المشهد× | |
|---|---|---|
| المجال≠ | الاستشعار عن بُعد | التحليل المكاني |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | 2010 | 1988 |
| صاحب الطريقة≠ | Thomas Blaschke | R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS) |
| النوع≠ | Image segmentation and classification pipeline | Quantitative landscape pattern description |
| المصدر التأسيسي≠ | 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 ↗ |
| الأسماء البديلة | Geographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizi | landscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri |
| ذات صلة | 3 | 3 |
| الملخص≠ | 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. |
| ScholarGateمجموعة البيانات ↗ |
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