The efforts to decrease air pollutants using renewable energies, especially photovoltaic
energy, are developing rapidly worldwide. Photovoltaic powerhouses contain a large …

The paper proposes a new swarm intelligence-based distributed Model Predictive Control
(MPC) approach for coordination control of multiple Unmanned Aerial Vehicles (UAVs). First …

This article aims to present the methods of the radiometric correction of multispectral images—
a short review of the existing techniques. The role of radiometric correction is essential to …

This study focuses on diagnosing pneumonia symptoms using chest X-ray (CXR) images. It
employs the MobileNetV2 model alongside image enhancement techniques, including white …

Automated detection of military people based on the images in different environments plays
an important role in accurately completing military missions. With the equipment gradually …

An unmanned aerial system (UAS)-based imaging technology has gained great interests in
modern photogrammetry and remote sensing. However, due to the limitations of UAS …

Last advances in sensors, photogrammetry and computer vision have led to high-
automation levels of 3D reconstruction processes for generating dense models and …

Images acquired at a low altitude can be the source of accurate information about various
environmental phenomena. Often, however, this information is distorted by various factors …

Unmanned Aerial Vehicles (UAVs) provide a flexible method for acquiring high-resolution
imagery with relative simple operation and cost-effectiveness. This technology emerged 30 …

Unmanned aerial vehicles (UAVs) equipped with compact digital cameras and multi-spectral
sensors are used in remote sensing applications and environmental studies. Recently, due …