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首页> 外文期刊>Marine Geodesy >Retrieval of Substrate Bearing Strength from Hyperspectral Imagery during the Virginia Coast Reserve (VCR'07) Multi-Sensor Campaign
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Retrieval of Substrate Bearing Strength from Hyperspectral Imagery during the Virginia Coast Reserve (VCR'07) Multi-Sensor Campaign

机译:在弗吉尼亚海岸保护区(VCR'07)多传感器战役中从高光谱影像中检索承印物的强度

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摘要

Hyperspectral imagery (HSI) derived from remote sensing can delineate surface properties of substrates such as type, moisture, and grain size. These are critical parameters that determine the substrate bearing strength. Although HSI only sees the surface layer, statistics can be derived that relate surface properties to the likely bearing strength of soils in particular regions. This information can be used to provide an initial map estimate on large scales of potential bearing strength. We describe an initial validation study at the Virginia Coast Reserve relating airborne HSI to in situ spectral and geotechnical measurements through a spectral-geotechnical lookup table (LUT).
机译:来自遥感的高光谱图像(HSI)可以描绘出基材的表面特性,例如类型,湿度和晶粒尺寸。这些是决定基材承载强度的关键参数。尽管HSI只看到表面层,但可以推导出统计信息,这些统计信息将表面特性与特定区域中可能的土壤承载力相关联。此信息可用于在潜在承载强度的大规模范围内提供初始地图估算。我们描述了在弗吉尼亚海岸保护区进行的一项初步验证研究,该研究通过光谱岩土技术查找表(LUT)将机载HSI与现场光谱和岩土技术测量联系起来。

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