Images gathered from different satellites are vastly available these days due to the fast
development of remote sensing (RS) technology. These images significantly enhance the …

Change detection based on remote sensing images plays an important role in the field of
remote sensing analysis, and it has been widely used in many areas, such as resources …

Change detection based on remote sensing (RS) data is an important method of detecting
changes on the Earth's surface and has a wide range of applications in urban planning …

ABSTRACT A large number of publications have incorporated deep learning in the process
of remote sensing change detection. In these Deep Learning Change Detection (DLCD) …

Change detection (CD) is essential to the accurate understanding of land surface changes
using available Earth observation data. Due to the great advantages in deep feature …

Change detection (CD) is one of the main applications of remote sensing. With the
increasing popularity of deep learning, most recent developments of CD methods have …

Central to the looming paradigm shift toward data-intensive science, machine-learning
techniques are becoming increasingly important. In particular, deep learning has proven to …

Change detection is one of the central problems in earth observation and was extensively
investigated over recent decades. In this paper, we propose a novel recurrent convolutional …

Mapping deforestation is an essential step in the process of managing tropical rainforests. It
lets us understand and monitor both legal and illegal deforestation and its implications …

Change detection is a critical task in studying the dynamics of ecosystems and human
activities using multi-temporal remote sensing images. While deep learning has shown …