Improving the Quality and Spatial Resolution of Super-spectral and Hyper-spectral Images through Sensor Fusion

通过传感器融合提高超光谱和高光谱图像的质量和空间分辨率

• 批准号: RGPIN-2016-03662
• 负责人: Zhang, Yun
• 金额: $ 3.06万
• 依托单位: University of New Brunswick
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636311
• 关键词: Improving; Quality; Spatial; Resolution; Super

As much as 80 percent of the information used for decision making has some geospatial context. Multi-spectral satellites (with up to 10 spectral bands) have been increasingly launched in recent years for quickly capturing information of the earth’s surface. It has been proven that super-spectral (10 to 50 spectral bands) and hyper-spectral (50 to 250 bands) remote sensing can provide much more information than multi-spectral remote sensing, because of their higher spectral resolutions (more spectral bands).

用于决策的信息中有多达80%具有一定的地理空间背景。近年来，越来越多的多光谱卫星（多达10个光谱波段）被发射，以快速捕获地球表面的信息。事实证明，超光谱（10 ~ 50个光谱波段）和超光谱（50 ~ 250个光谱波段）遥感由于具有更高的光谱分辨率（更多的光谱波段），可以比多光谱遥感提供更多的信息。