文章基本信息

标题：Land cover data from Landsat single-date imagery: an approach integrating pixel-based and object-based classifiers
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作者：Tommaso Ceccarelli ; Daniela Smiraglia ; Sofia Bajocco 等
期刊名称：European Journal of Remote Sensing
电子版ISSN：2279-7254
出版年度：2013
卷号：46
期号：1
页码：699-717
DOI：10.5721/EuJRS20134641
摘要：This paper proposes an approach for generating land cover information from single-date Landsat images integrating pixel-based and object-based classifiers in two study areas: the province of Oristano and the region of Campania. The process consisted in: a) preprocessing; b) segmentation; c) classification based on radiometric properties and integration with textural properties and vegetation indices. A good overall classification accuracy was obtained at the first (Oristano: 87%, Campania: 88%) and at the second (Oristano: 74%, Campania: 82%) CORINE Land Cover level. Results highlight the potential of the method to be replicated in time and space in the perspective of a semi-automatic and cost-efficient transferability of the procedure.
关键词：Pixel-Based classification ; Object-Based classification ; Landsat archive imagery ; land cover ; single-date image