Remote sensing is a tool of interest for a large variety of applications. It is becoming
increasingly more useful with the growing amount of available remote sensing data …

Remote sensing images provide a valuable way to observe the Earth's surface and identify
objects from a satellite or airborne perspective. Researchers can gain a more …

Change detection (CD) in optical remote sensing images has significantly benefited from the
development of deep convolutional neural networks (CNNs) due to their strong capability of …

Recent studies have introduced transformer modules into convolutional neural networks
(CNNs) to solve the inherent limitations of CNNs in global modeling and have achieved …

The objective of change detection (CD) is to identify the altered region between dual-
temporal images. In pursuit of more precise change maps, numerous state-of-the-art (SOTA) …

The Douro Demarcated Region is fundamental to local cultural and economic identity.
Despite its importance, the region faces the challenge of abandoned vineyard plots, caused …

Dynamic monitoring of cropland using high spatial resolution remote sensing images is a
powerful means to protect cropland resources. However, when a change detection method …

Detection of changes in heterogeneous remote sensing images is vital, especially in
response to emergencies like earthquakes and floods. Current homogenous transformation …

Remote sensing image change detection (RSCD) based on deep learning technology has
made remarkable achievements. Meanwhile, the enhancement of network architectures and …

Several challenges in computer vision prompted the research community to propose
innovative approaches and unravel new perspectives to optimize deep learning models …