可见,NIR,SWIR和eSWIR城市和农村场景对比比较对比比较
Applied optics
|March 4, 2024
概括
扩展的短波红外 (eSWIR) 波段为绘制图像和定位等成像任务提供了优越的对比度,与可见,近红外和短波红外频段相比. 这种增强的对比度可以在城市和农村环境中改善特征识别和物体检测.
科学领域:
- 遥感 遥感 遥感 遥感
- 光学成像技术的成像
- 图像分析 图像分析
背景情况:
- 反射成像频段 (可见,近红外,短波红外,扩展短波红外) 提供了不同的光谱信息,对于各种遥感应用至关重要.
- 高图像对比度对于精确的特征识别,物体识别和城市和农村景观的详细绘制至关重要.
- 为特定的成像任务 (如定位或映射) 选择最佳的光谱频段,需要对它们的对比性能有充分的了解.
研究的目的:
- 量化比较可见 (VIS),近红外 (NIR),短波红外 (SWIR) 和扩展短波红外 (eSWIR) 频段的场景对比性能.
- 为了确定哪个反射成像带为日间成像系统提供了最高的对比度,这些系统是为定位和映射而设计的.
- 通过以等效反射率 (ER) 来测量城市和农村场景来评估不同频谱带的实用性.
主要方法:
- 使用具有匹配空间分辨率和瞬时视野 (IFOV) 的成像系统来确保公平的比较.
- 在VIS,NIR,SWIR和eSWIR频段的城市和农村场景中使用等效反射率 (ER) 测量场景对比度.
- 使用从测量数据中得出的方差和1D功率光谱密度 (PSDs) 来定量分析对比.
主要成果:
- 在城市和农村场景中,在VIS,NIR,SWIR和eSWIR频段之间观察到对比性能的显著差异.
- 扩展短波红外 (eSWIR) 波段在所有测量环境中始终显示出最高的场景对比度.
- 等效反射率 (ER) 的差异与光谱波段之间的测量对比度变化相关.
结论:
- 扩展的短波红外 (eSWIR) 波段是最有效的用于提高远程传感应用中的图像对比度.
- 这些发现为设计白天成像系统提供了宝贵的指导,特别是对于需要高特征区分能力的任务.
- eSWIR波段的优越对比性能使其非常适合在各种环境中提高对象检测和映射精度.
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