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ऑब्जेक्ट-आधारित छवि विश्लेषण (OBIA)×लैंडस्केप पैटर्न मेट्रिक्स×
क्षेत्रसुदूर संवेदनस्थानिक विश्लेषण
परिवारProcess / pipelineProcess / pipeline
उद्भव वर्ष20101988
प्रवर्तकThomas BlaschkeR. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)
प्रकारImage segmentation and classification pipelineQuantitative landscape pattern description
मौलिक स्रोतBlaschke, 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 ↗
उपनामGeographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizilandscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri
संबंधित33
सारांशObject-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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ScholarGateविधियों की तुलना करें: Object-Based Image Analysis · Landscape Metrics. 2026-06-17 को यहाँ से प्राप्त https://scholargate.app/hi/compare