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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >Estimation of subpixel vegetation cover using red-infrared scattergrams
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Estimation of subpixel vegetation cover using red-infrared scattergrams

机译:利用红红外散点图估算亚像素植被覆盖度

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摘要

The bulk properties of discontinuous vegetation canopies are estimated at subpixel scales by applying the method of moments to a linear stochastic geometric model of canopy-soil reflectance and one set of multispectral observations without ground truth. The procedure involves the formulation of conditional moments for subsets of pixels that possess similar properties and can be identified through their common orientation in red-infrared scattergrams. The analysis is facilitated by assuming geometric similarity among the canopy elements and by formulating a sampling scale ratio in terms of the bulk geometric scales of the canopy and the pixel. Three versions of the method are demonstrated using two simulated scenes and an actual forested watershed for which aerial radiometric data and corresponding ground truth were obtained.
机译:通过将矩量方法应用于冠层-土壤反射率的线性随机几何模型和一组没有地面真实性的多光谱观测值,可以在亚像素尺度上估计不连续植被冠层的整体性质。该过程涉及为具有相似属性的像素子集制定条件矩,这些条件子集可以通过在红红外散点图中的共同方向来识别。通过假设冠层元素之间的几何相似性以及通过根据冠层和像素的整体几何比例来制定采样比例,可以简化分析。使用两个模拟场景和一个实际的森林流域,演示了该方法的三种版本,针对这些森林流域获得了航空辐射数据和相应的地面真相。

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