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首页> 外文会议>Remote Sensing of the Marine Environment; Proceedings of SPIE-The International Society for Optical Engineering; vol.6406 >A stochastic technique for remote sensing of ocean color
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A stochastic technique for remote sensing of ocean color

机译：一种用于海洋颜色遥感的随机技术

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摘要

Remote sensing of ocean color from space aims at retrieving from a noisy top-of-atmosphere radiance the values taken by some relevant quantities like the chlorophyll-a concentration or the marine reflectance. From a mathematical perspective, it is an ill-posed inverse problem with a highly nonlinear operator. Few techniques are available in the case of a nonlinear inverse problem; even its theoretical study is far from easy, yet some techniques may be used in a practical setting when the noise distribution is known. However in the case of ocean color remote sensing, the noise encompasses several types of error owing to the forward operator approximation (radiative transfer model) as well as to calibration and pure measurement noise. Hence the noise distribution is unknown. In this work, a stochastic technique is proposed to first infer a noise distribution, which is next used to retrieve the marine reflectance in a least-square prediction setting by a regression model. The methodology is illustrated on actual data originating from the SeaWiFS sensor.
机译：从太空遥感海洋颜色的目的是从嘈杂的大气顶部辐射中检索某些相关量（例如叶绿素a浓度或海洋反射率）所取的值。从数学角度来看，它是一个具有高度非线性算子的不适定逆问题。对于非线性逆问题，很少有技术可用；即使其理论研究也远非易事，但是当已知噪声分布时，可以在实际环境中使用某些技术。但是，在海洋彩色遥感的情况下，由于前向算子近似（辐射传递模型）以及校准和纯测量噪声，噪声包含多种类型的误差。因此，噪声分布是未知的。在这项工作中，提出了一种随机技术来首先推断噪声分布，然后将其用于通过回归模型在最小二乘预测设置中获取海洋反射率。在源自SeaWiFS传感器的实际数据上说明了该方法。

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