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Updated: Sep 11, 2025

10:09
Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
6.7K
概括
一个新的基于物理的处理器,TSDSF + RAdCor在ACOLITE中,提高了对卫星图像的表面反射率检索精度,特别是在小内陆水域. 它在可见光线范围内表现优于其他处理器,但在近红外线中显示出混合的结果.
科学领域:
- 遥感 遥感 遥感 遥感
- 大气光学是大气光学.
- 地理空间分析的研究.
背景情况:
- 大气散射 (相邻效应) 模糊了卫星信号,降低了表面反射率检索的准确性.
- 这种效应对于水域遥感至关重要,因为陆水对比度很高,水体尺寸很小.
- 现有的处理器在精确的表面反射率检索方面扎,特别是在复杂的幕后组合中.
研究的目的:
- 介绍一种基于物理学的新型处理器 (TSDSF + RAdCor),用于在所有表面类型中准确的表面反射率检索.
- 在ACOLITE软件中实现和评估Landsat 8 (OLI) 和Sentinel-2 (MSI) 传感器的处理器.
- 评估处理器在内陆和沿海水生生物遥感应用中的性能.
主要方法:
- 开发了一种由两个模块组成的处理器:TSDSF用于气溶属性估计,RAdCor用于表面反射率检索.
- 在开源ACOLITE软件中实现了处理器.
- 使用OLI和MSI数据对比比利时小内陆水域的验证性能,与现场数据和其他加工商 (C2RCC,POLYMER,Sen2Cor,iCOR,ACOLITE/DSF,LaSRC) 进行比较.
主要成果:
- TSDSF + RAdCor处理器在可见波段中显示出更好的准确性 (OLI的偏差为6-18%,MSI的偏差为14-31%).
- 在近红外波段 (70-150%偏差) 的性能有所不同,但有显著的例外.
- 新的处理器在可见光范围内表现优于大多数其他处理器,但在近红外范围内被C2RCC和POLYMER所超越.
结论:
- TSDSF + RAdCor处理器为表面反射率检索提供了一个强大的解决方案,特别有利于水域遥感.
- 提供了ACOLITE中处理器最佳使用的建议.
- 对于所有传感器和条件的近红外波段精度,可能需要进一步的细化.
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