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 …

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 …

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 …

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 …

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 …

Change Detection (CD) provides a research basis for environmental monitoring, urban
expansion and reconstruction as well as disaster assessment, by identifying the changes of …

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 …

With the development of deep learning techniques in the field of remote sensing change
detection, many change detection algorithms based on convolutional neural networks …

The interest in change detection in the field of remote sensing has increased in the last few
years. Searching for changes in satellite images has many useful applications, ranging from …

Remote sensing change detection can provide information on land surface change, which is
important for studying man-nature interactions and facilitating sustainable development …