方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 景观格局指数× | 基于对象的图像分析 (OBIA)× | |
|---|---|---|
| 领域≠ | 空间分析 | 遥感 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1988 | 2010 |
| 提出者≠ | R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS) | Thomas Blaschke |
| 类型≠ | Quantitative landscape pattern description | Image segmentation and classification pipeline |
| 开创性文献≠ | 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 ↗ |
| 别名 | landscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri | Geographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizi |
| 相关 | 3 | 3 |
| 摘要≠ | 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. |
| ScholarGate数据集 ↗ |
|
|