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オブジェクトベース画像解析 (OBIA)×景観パターン指標×
分野リモートセンシング空間分析
系統Process / pipelineProcess / pipeline
提唱年20101988
提唱者Thomas BlaschkeR. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)
種類Image segmentation and classification pipelineQuantitative landscape pattern description
原典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 ↗
別名Geographic Object-Based Image Analysis, GEOBIA, Object-Oriented Image Analysis, Nesne Tabanlı Görüntü Analizilandscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri
関連33
概要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.
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ScholarGate手法を比較: Object-Based Image Analysis · Landscape Metrics. 2026-06-17に以下より取得 https://scholargate.app/ja/compare