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Discrimination of basmati and non-basmati rice types using polarimetric target decomposition of temporal SAR data

机译:使用时间SAR数据的极化目标分解判别印度香米和非印度香米类型

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The present study distinguishes the growing areas of basmati and non-basmati rice types using polarimetric target decomposition technique on temporal Synthetic Aperture Radar (SAR) data. Multi-temporal quad-pol RADARSAT-2 data of part of the Indo-Gangetic plains were acquired to analyse the contribution of different scattering components (double bounce, singe bounce and volume scattering) at various crop growth stages of both rice types. A decision tree-based framework has been proposed to segregate both rice types and other major land use-land cover classes by capturing the temporal variations in different scattering components. Both rice types were separated in the study area with user's accuracy of 85.19% and 82.93% for non-basmati and basmati rice respectively.
机译:本研究使用时间合成孔径雷达(SAR)数据上的极化目标分解技术,区分了印度香米和非印度香米的生长区域。采集了印度-恒河平原部分地区的多时相四极点RADARSAT-2数据,以分析两种水稻在不同作物生长阶段的不同散射成分(双反弹,单次反弹和体积散射)的贡献。已经提出了一种基于决策树的框架,通过捕获不同散射成分的时间变化来分离水稻类型和其他主要土地利用-土地覆盖类型。研究区域将两种大米分开,非巴斯马蒂和巴斯马蒂大米的用户准确率分别为85.19%和82.93%。

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