Video satellites have recently become an attractive method of Earth observation, providing
consecutive images of the Earth's surface for continuous monitoring of specific events. The …

Remote sensing technology has seen a massive rise in popularity over the last two decades,
becoming an integral part of our lives. Space-based satellite technologies facilitated access …

The accurate segmentation of remotely sensed hyperspectral images has widespread
attention in the Earth observation and remote sensing communities. In the past decade, most …

Convolutional neural network (CNN) has been proven an effective way to extract high-level
features from remote sensing (RS) images automatically. Many variants of the CNN model …

Object tracking in satellite videos has garnered significant attention due to its increasing
importance. However, several challenging attributes, such as the presence of tiny objects …

The purpose of this paper is to present the results obtained from field spectroscopy
campaigns for detecting underground structures. Simple Ratio (SR) Vegetation Index, was …

This study presents a new way to reconstruct the extent of medieval archaeological sites by
using approaches from the field of geoinformatics. Hence, we propose a combined use of …

Remote sensing images are often affected by haze, resulting in problems such as blurriness,
loss of details, and color casts. To effectively remove haze and obtain high-quality remote …

Remote sensing is considered as an increasingly important technology for military
intelligence. New satellite missions, such as Sentinel 2A, may provide systematic datasets …

Underground structures can affect their surrounding landscapes in different ways such as
soil moisture content, soil composition and vegetation vigor. Vegetation vigor is often …