文章基本信息

标题：Multi-temporal classification of asar images in agricultural areas
本地全文：下载
作者：M. Tavakkoli ; P. Lohmann
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：2006
卷号：XXXVI Part 7
出版社：Copernicus Publications
摘要：Human activities strongly affect the environment and impact natural resources. To reduce the disadvantages, we have to monitor the human activities as well as the environment. Therefore demand on continuous and inexpensive methods for environmental monitoring is strongly increasing. In this research and development project, ENVISAT polarimetric SAR data are examined for their usefulness to environmental monitoring within a drinking water protection area named "Fuhrberger Feld", north east of the city of Hanover in Germany. This is done by using ENVISAT ASAR images together with GIS information like topographic maps, orthophotos, also ground surveys. Because of only 2 polarisations of ASAR, yielding a coherent response of different vegetation types and the high variance of pixel values, the results from classification approaches using monotemporal images are unsatisfactory. Our experiments and the experience of other authors as well as the knowledge about crop phenology led to a multi-temporal classification approach improving the classical methods. In multi-temporal classification, we assume images from different dates, which cover the phenologic period of desired crops, as bands of a multi-temporal image. The feasibility and accuracy of this multi- temporal approach is evaluated within a study area and answers some questions about multi-temporal classification in this paper, namely the necessary images (dates) to be used, the pre-processing (filters) to improve the accuracy of classification together with the accuracy of multi-temporal classification for crops with fixed phenological period. The classification of crops with different phenological periods and the combination of results from classifying different sets of images is shown and the limitations of multi- temporal classification is demonstrated
关键词：ASAR; Classification; Multi-Temporal; Land-use; Agriculture.