DOI: 10.1016/j.jag.2016.09.012
Scopus记录号: 2-s2.0-85018624259
论文题名: An operational framework for object-based land use classification of heterogeneous rural landscapes
作者: Watmough G ; R ; , Palm C ; A ; , Sullivan C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2017
卷: 54 起始页码: 134
结束页码: 144
语种: 英语
Scopus关键词: algorithm
; GeoEye
; heterogeneity
; image classification
; land use
; monitoring
; NDVI
; QuickBird
; rural landscape
; satellite data
英文摘要: The characteristics of very high resolution (VHR) satellite data are encouraging development agencies to investigate its use in monitoring and evaluation programmes. VHR data pose challenges for land use classification of heterogeneous rural landscapes as it is not possible to develop generalised and transferable land use classification definitions and algorithms. We present an operational framework for classifying VHR satellite data in heterogeneous rural landscapes using an object-based and random forest classifier. The framework overcomes the challenges of classifying VHR data in anthropogenic landscapes. It does this by using an image stack of RGB-NIR, Normalised Difference Vegetation Index (NDVI) and textural bands in a two-phase object-based classification. The framework can be applied to data acquired by different sensors, with different view and illumination geometries, at different times of the year. Even with these complex input data the framework can produce classification results that are comparable across time. Here we describe the framework and present an example of its application using data from QuickBird (2 images) and GeoEye (1 image) sensors. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79954
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Bioscience, Ecoinformatics and Biodiversity Unit, Aarhus University, Ny Munkegade 116, Building 1535, Aarhus, Denmark; Agriculture and Food Security, The Earth Institute, Columbia University Lamont Campus, 61 Route 9W, Lamont Hall, Palisades, NY, United States
Recommended Citation:
Watmough G,R,, Palm C,et al. An operational framework for object-based land use classification of heterogeneous rural landscapes[J]. International Journal of Applied Earth Observation and Geoinformation,2017-01-01,54