利用SOM从遥感反射率估计光学固有特性

A. Chazottes, M. Crépon, S. Thiria
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引用次数: 1

摘要

本文提出了一种能够从遥感反射率中检索四种海洋成分光学特性的神经网络分类器。将该模型与一些标准算法进行比较,我们发现神经网络具有最好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using SOM to estimate optical inherent properties from remote sensing reflectance
This article presents a neural network classifier able to retrieve the optical properties of four ocean constituents from remote sensing reflectance. When comparing this model to some standard algorithms, we found that the neural network gives the best performances.
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