Сравнение методов

	Объектно-ориентированный анализ изображений (OBIA)	Метрики ландшафтного паттерна
Область	Дистанционное зондирование	Пространственный анализ
Семейство	Process / pipeline	Process / pipeline
Год появления	2010	1988
Автор метода	Thomas Blaschke	R. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)
Тип	Image segmentation and classification pipeline	Quantitative landscape pattern description
Основополагающий источник	Blaschke, T. (2010). Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1), 2–16.	O'Neill, R. V., et al. (1988). Indices of landscape pattern. Landscape Ecology, 1(3), 153–162.
Другие названия	Geographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizi	landscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri
Связанные	3	3
Сводка	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.