基于全局和局部信息的线性判别分析在SAR影像时序植被分类中的应用

2017 25th Signal Processing and Communications Applications Conference (SIU) Pub Date : 2017-05-15 DOI:10.1109/SIU.2017.7960204

U. Sakarya, C. Demirpolat

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引用次数: 2

摘要

利用SAR影像进行植被分类是遥感领域的研究课题之一。本文提出了基于全局和局部信息的线性判别分析在SAR影像时间序列植被分类中的应用。实验证明，除了全局模式信息外，局部模式信息的使用提高了时序TerraSAR-X植被分类的精度和时间性能。

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SAR image time series analysis in vegetation classification using global and local information based linear discriminant analysis

Vegetation classification using SAR images is one of the research topics in remote sensing. In this paper, SAR image time series analysis in vegetation classification using global and local information based linear discriminant analysis is presented. It is experimentally demonstrated that the use of local pattern information in addition to global pattern information has increased both accuracy and time performance in vegetation classification using time-series TerraSAR-X images.

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2017 25th Signal Processing and Communications Applications Conference (SIU)

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