文章基本信息

标题：LAND USE CLASSIFICATION AT MESO-SCALE USING REMOTELY SENSED DATA
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作者：S. Bouzidi ; F.Lahoche ; I. Herlin 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2000
卷号：XXXIII Part B7(/1-4)
页码：205-212
出版社：Copernicus Publications
摘要：In this paper we present a framework to generate a land cover classificatio n from coarse spatial resolution remotely sensed data acquired by NOAA-AVHRR sensor. We define a model for the pixels' content and a process allowing to compute the individual proportions of the different land cover types for each pixel. The method is based on a linear mixture model of re.ectances and exploits the good temporal frequency of NOAA acquisitions. The result provides a description in terms of land covers percentage within each NOAA pixel. A quality evaluation is performed on a test area for which high spatial resolution and temporal NOAA data are simultaneously available