… • We propose a new end-to-end change detection architecture for high-resolution remote
sensing images, using siamese networks with the multi-head self-attention mechanism to …

… dependency, we design a CD self-attention mechanism to model the spatial… self-attention
module in the procedure of feature extraction. Our self-attention module calculates the attention …

… change detection approach based on visual attention … -based change detection network
with stacked attention module … sensing image change detection based on attention mechanism …

… [6], and land use detection [7]. In this work, we propose a lightweight change detection …
Then, the overall information is sent to the transformer encoder, and the self-attention operation is …

… self-attention augmented Laplacian pyramid expanding network (H-SALENet) for supervised
change detection in … and long-range dependent change features is enhanced through deep …

… important indicator of interpreting the changes influenced by human beings on the living
planet. Change detection (CD) is the process of identifying the changes occurred in an identical …

… algorithms promote the development of image change detection, but there are still some …
a remote image change detection algorithm based on the multi-feature self-attention fusion …

… Wenzhou data set, aiming to detect the land cover changes of Wenzhou City and thus … new
self-attention and convolution fusion network (SCFNet) for the land cover change detection of …

… A special contextual attention module combining a convolution and self-attention module
is introduced into the siamese feature extractor to enhance the global representation ability. A …

… capacity of detecting subtle changes. In this paper, we proposed a channel self-attention
network based on the generative adversarial network for change detection of remote sensing …