Hyperspectral Remote Rensing Image (HRSI) classification based on Convolution Neural
Network (CNN) has become one of the hot topics in the field of remote sensing. However …

Background Vegetation spectral reflectance obtained with hyperspectral imaging (HSI) offer
non-invasive means for the non-destructive study of their physiological status. The light …

In recent years, increasing demand for inland river water quality precision management has
heightened the necessity for real-time, rapid, and continuous monitoring of water conditions …

Meteorological forecasting is a typical and fundamental problem in the remote sensing field.
Although many brilliant forecasting methods have been developed, long-term (a few days …

Urban surface water is an important freshwater resource, and the surface water environment
is increasingly being destroyed. Dynamic monitoring of surface water is of great significance …

In natural forest ecosystems, there is often abundant down dead wood (DDW) due to wind
disasters, which greatly changes the size and structure of forests. Accurately determining the …

Accurate land surface reflectance plays an important role in the accurate inversion of surface
parameters, and atmospheric correction plays a decisive role in obtaining accurate …

Broadband optical satellites have been widely used for fine monitoring of coastal waters and
inland lakes for their high spatial resolution. Atmospheric correction (AC) is one of the …

大气校正是高光谱遥感图像预处理的重要步骤之一, 大气校正的精度在一定程度上决定了高光谱
遥感应用的程度. 首先, 分析了大气对辐射传输的影响, 并对大气中气溶胶光学厚度和水汽的反演 …

Atmospheric correction is the process for removing atmospheric effects from spectral data; a
necessary step for recovering salient spectral properties. The complex interactions between …