Abstract

The pattern recognition of a forest surface from remote sensing data (both airborne hyperspectral data and WorldView-2 multichannel satellite data of high spatial resolution) is investigated. Calculations have been performed using both the method developed earlier by the authors and the standard statistical approach. For three fragments of the forest surface, the range of changes in the accuracy of recognition calculations has been estimated for both airborne and satellite data, depending on the use of different databases developed for the recognition system. Some features of the pattern recognition of the underlying surface are discussed on the basis of both hyperspectral airborne data and multichannel satellite data of high spatial resolution.

中文翻译：

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高空间分辨率的高光谱机载和多通道卫星数据对森林植被的模式识别：结果的比较和准确性的估算

摘要

研究了遥感数据（机载高光谱数据和高空间分辨率的WorldView-2多通道卫星数据）对森林表面的模式识别。已经使用作者较早开发的方法和标准统计方法进行了计算。对于森林表层的三个碎片，根据对识别系统开发的不同数据库的使用，已经估算了机载和卫星数据的识别计算精度变化范围。在高光谱机载数据和高空间分辨率的多通道卫星数据的基础上，讨论了地下表面模式识别的一些特征。