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 …

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 …

Automatic shadow detection is a very important pre-processing step for many remote
sensing applications, particularly for images acquired with high spatial resolution. In …

Due to the block of high-rise objects and the influence of the sun's altitude and azimuth,
shadows are inevitably formed in remote sensing images particularly in urban areas, which …

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

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 …

We present a method to automatically detect shadows in a fast and accurate manner by
taking advantage of the inherent sensitivity of digital camera sensors to the near-infrared …

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 …