The utilization of multispectral imaging systems (MIS) in remote sensing has become crucial
for large-scale agricultural operations, particularly for diagnosing plant health, monitoring …

A hyperspectral image is classically a three-way (or tensor) block of data. In order to extract
information from it, it has to be classified using image classifiers. Since classifiers are …

Recent advances in optical remote sensing, especially with the development of machine
learning models have made it possible to automatically classify different crop types based …

To monitor the Ecological Environment Quality (EEQ) of the Jiaodong Peninsula and provide
a scientific basis for ecological environment governance and sustainable development in …

Remotely sensed images acquired by optical sensors are frequently affected by cloud cover,
which can impede interpretation and analysis. Generative adversarial networks (GANs) …

The rapid advancement of artificial intelligence (AI), coupled with the utilization of aerial
images from Unmanned Aerial Vehicles (UAVs), presents a significant opportunity to …

This study examines the effect of various image recovery algorithms on photo great in digital
photo processing. Especially, the consequences on the visual quality of the photographs are …

The power output of solar farms is affected by meteorological factors such as cloud formation
and cloud height. Cloud height influences the incident solar radiation because of the …

Intense changes in urban land in cities worldwide are among the factors that contribute to
diminishing forest land and biodiversity loss. Vegetative cover of diverse species and …

Intense urban land changes in cities worldwide are among the factors that contribute to
diminishing forest land and biodiversity loss. Vegetative cover of diverse species and …