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オブジェクトベース画像解析 (OBIA)×変化検出×景観パターン指標×
分野リモートセンシングリモートセンシング空間分析
系統Process / pipelineProcess / pipelineProcess / pipeline
提唱年201019891988
提唱者Thomas BlaschkeAshbindu SinghR. V. O'Neill et al.; McGarigal & Marks (FRAGSTATS)
種類Image segmentation and classification pipelineMultitemporal image comparison 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 ↗Singh, A. (1989). Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10(6), 989–1003. 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 AnaliziMultitemporal Image Analysis, Land-Cover Change Analysis, Bitemporal Change Analysis, Değişim Tespitilandscape pattern indices, FRAGSTATS metrics, fragmentation indices, peyzaj metrikleri
関連323
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.Change detection is a remote sensing analysis pipeline that identifies differences in land cover or land use between two or more images acquired at different times over the same geographic area. Systematically reviewed and classified by Ashbindu Singh in 1989, the framework encompasses image differencing, post-classification comparison, vegetation index differencing, and principal component analysis, and remains the canonical reference for evaluating which technique best suits a given application.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 · Change Detection · Landscape Metrics. 2026-06-18に以下より取得 https://scholargate.app/ja/compare