With the acceleration of urban expansion, urban change detection (UCD), as a significant
and effective approach, can provide the change information with respect to geospatial …

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 is a process of identifying changed ground objects by comparing image
pairs obtained at different times. Compared with the pixel-level and object-level change …

With the rapid development of remote sensing technologies, the frequency of observations
of the same location is increasing, and many satellites and sensors produced a large …

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 …

The new generation of Earth observation sensors with high spatial resolution can provide
detailed information for change detection. The widely used methods for high-resolution …

The study investigates land use/cover classification and change detection of urban areas
from very high resolution (VHR) remote sensing images using deep learning-based …

Automatic change detection from remotely sensed imagery is extremely important for many
applications, including land use mapping. In recent years, a growing number of researchers …

Change detection is an essential and widely utilized task in remote sensing that aims to
detect and analyze changes occurring in the same geographical area over time, which has …

Deep learning (DL) algorithms are considered as a methodology of choice for remote-
sensing image analysis over the past few years. Due to its effective applications, deep …