Aerial observation is usually affected by the Earth's atmosphere, especially when haze
exists. Deep reinforcement learning was used in this study for dehazing. We first developed …

Atmospheric correction plays an important role in satellite monitoring of lake water quality.
However, different atmospheric correction algorithms yield significantly different accuracy for …

Due to the complexity of spectral characteristics for inland lake water, high-precision
atmospheric correction methods play an essential role in remote sensing. This research …

The subtropical region of China covers a vast area with special and unique geographical
characteristics. Typical geographical characteristics include complex natural landscape with …

Commonly used remote sensing image de-haze methods include: the image enhancement
method and a physical model-based. However, when the above methods are applied to …

Urbanization increases the scales of urban spaces and the sizes of their populations,
causing the functions in cities and towns to be in short supply. This study carries out …

Atmospheric conditions vary significantly in terms of the temporal and spatial scales.
Therefore, it is critical to obtain atmospheric parameters synchronized with an image for …

Atmospheric parameters are necessary inputs for atmospheric correction, but obtaining
these parameters is difficult. To address this challenge, a solution for atmospheric parameter …

**亚热带区域覆盖范围广, 面积达240 万km 2. 区内不仅自然景观复杂, 多云多雨, 多山多林,
生物多样性丰富, 是**稻米主产区, 而且多河多湖, 多矿多污, 生态环境十分敏感 …

Abstract Deep Learning based on Remote Sensing has become a powerful tool to increase
agricultural productivity, mitigate the effects of climate change, and monitor deforestation …