Land surface feature extraction with remote sensing for environmental change

环境变化遥感地表特征提取

• 批准号: 106173-2010
• 负责人: Wang, Jinfei
• 金额: $ 1.46万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=545238
• 关键词: Land; surface; feature; extraction; remote

Our environment is constantly changing which is reflected by the changing of land surface features such as buildings, roads and trees. In some parts of the world, the distribution and density of these features change rapidly, such as fast urbanization in large cities, and changes after major natural disasters. It is important to detect such changes accurately so that the physical and human processes can be more fully understood. With the increasing availability of remotely sensed data from multi-temporal, high-spatial resolution multispectral, hyperspectral, laser scanning and radar sensors, it is now possible to effectively monitor these changes without involving excessive manual and field work.

我们的环境在不断变化，这反映在建筑物、道路和树木等地表特征的变化上。在世界某些地区，这些特征的分布和密度变化很快，例如大城市的快速城市化，以及重大自然灾害后的变化。准确检测此类变化非常重要，以便更全面地理解物理和人类过程。随着来自多时相、高空间分辨率多光谱、高光谱、激光扫描和雷达传感器的遥感数据的可用性不断增加，现在可以有效地监测这些变化，而无需涉及过多的手动和现场工作。