This paper reviews low-cost vehicle and pedestrian detection methods and compares their
accuracy. The main goal of this survey is to summarize the progress achieved to date and to …

Remote sensing images provide a valuable source of information about the earth's surface.
The presence of shadow can reduce the amount of information that can be extracted from …

Monitoring the rapid and extensive changes in plant species distributions occurring
worldwide requires large-scale, continuous and repeated biodiversity assessments. Imaging …

摘要三维重建在视觉方面具有很高的研究价值, 在机器人视觉导航, 智能车环境感知系统以及
虚拟现实中被广泛应用. 本文对近年来国内外基于视觉的三维重建方法的研究工作进行了总结和 …

Shadow removal is a challenging problem in hyperspectral remote sensing images due to
its spatial-variant properties and diverse patterns. In this work, a shadow removal framework …

In recent years, many applications using a set of red-green-blue (RGB) and near-infrared
(NIR) images, also called an RGB-NIR image, have been proposed. However, RGB-NIR …

With the continuous increase in the resolution of high-resolution remote sensing satellite
images, shadows have increasingly impacted feature target recognition and classification in …

Cross-spectral imaging provides strong benefits for recognition and detection tasks. Often,
multiple cameras are used for cross-spectral imaging, thus requiring image alignment, or …

Removing undesirable reflections in photographs benefits both human perceptions and
downstream computer vision tasks, but it is a highly ill-posed problem based on a single …

Understanding the impact of land use and land cover change on surface energy and water
budgets is increasingly important in the context of climate change research. Eddy …