A Study for Near-Shore Characterization Using High-Resolution Hyperspectral and Multispectral Images

G. Pennucci, R. Grasso, C. Trees
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引用次数: 3

Abstract

Our goal is the development of spectral analysis tools that fully exploit the information content in multi/hyper-spectral imagery, particularly as it applies to remote sensing of ocean color and the extraction of bathymetry, water visibility and bottom type information. The aim of this study is the validation of standard bathymetry algorithms by comparing results from different sensors with a reference data set of in situ samples and the improvement of the resolution and estimation error by using the fusion of complementary sources. Multi-sensor fusion of satellite and in situ calibration measurements can be used to assist in performing Rapid Environmental Assessment (REA) of coastal area. The greater part of the data used here comes from a NATO Battlespace Preparation field experiment that was performed in April/May 2007 along the coast of Tuscany (BP07). During this campaign calibration taps and in situ sensors were employed to measure several bio-optical and physical parameters that allow integration with satellite-derived products to improve the final accuracy.
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基于高分辨率高光谱和多光谱图像的近岸特征研究
我们的目标是开发光谱分析工具,充分利用多/高光谱图像中的信息内容,特别是它适用于海洋颜色遥感和水深、水可见度和底型信息的提取。本研究的目的是通过将不同传感器的结果与现场样品的参考数据集进行比较来验证标准测深算法,并通过使用互补源融合来提高分辨率和估计误差。利用卫星多传感器融合和现场定标测量,可以辅助开展沿海地区快速环境评价。这里使用的大部分数据来自2007年4月/ 5月在托斯卡纳海岸进行的北约战场准备野外实验(BP07)。在这次活动中,使用校准水龙头和原位传感器来测量几个生物光学和物理参数,这些参数允许与卫星衍生产品集成,以提高最终精度。
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