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Dual-attention-guided multiscale feature aggregation network for remote sensing image change detection
H Ren, M **a, L Weng, K Hu… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Remote sensing image change detection plays an important role in urban planning and
environmental monitoring. However, the existing change detection algorithms have limited …
environmental monitoring. However, the existing change detection algorithms have limited …
SLDDNet: Stagewise short and long distance dependency network for remote sensing change detection
Z Fu, J Li, L Ren, Z Chen - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
With the rapid development of society, the pace of land change continues to accelerate.
Consequently, remote sensing change detection (CD) has become a vital method for …
Consequently, remote sensing change detection (CD) has become a vital method for …
Deep supervision feature refinement attention network for medical image segmentation
Z Fu, J Li, Z Hua, L Fan - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The improvement of medical technology is closely related to the development of computers.
Deep learning methods have become an important means for medical image processing …
Deep learning methods have become an important means for medical image processing …
GeoFormer: A geometric representation transformer for change detection
Deep representation learning has improved automatic remote sensing change detection
(RSCD) in recent years. Existing methods emphasize primarily convolutional neural …
(RSCD) in recent years. Existing methods emphasize primarily convolutional neural …
MIFNet: Multi-scale interaction fusion network for remote sensing image change detection
Change Detection (CD) is a crucial and challenging task in remote sensing observations.
Despite the remarkable progress driven by deep learning in remote sensing change …
Despite the remarkable progress driven by deep learning in remote sensing change …
MVAFG: Multi-View Fusion and Advanced Feature Guidance Change Detection Network for Remote Sensing Images
X Zhang, Z Wang, J Li, Z Hua - IEEE Journal of Selected Topics …, 2024 - ieeexplore.ieee.org
In recent years, change detection (CD) methods have faced challenges in being applied to
various types of remote sensing datasets and related research fields, particularly in the …
various types of remote sensing datasets and related research fields, particularly in the …
High-Resolution Remote Sensing Image Change Detection Based on Fourier Feature Interaction and Multi-scale Perception
Y Chen, S Feng, C Zhao, N Su, W Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As a significant means of Earth observation, change detection in high-resolution remote
sensing images has received extensive attention. Nevertheless, the variability in imaging …
sensing images has received extensive attention. Nevertheless, the variability in imaging …
FDFF-Net: A full-scale difference feature fusion network for change detection in high-resolution remote sensing images
Deep-learning techniques have made significant advances in remote sensing change
detection task. However, it remains a great challenge to detect the details of changed areas …
detection task. However, it remains a great challenge to detect the details of changed areas …
Segment anything model guided semantic knowledge learning for remote sensing change detection
Z Sun, H Song, K Zhang, G Dong… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Existing deep learning based remote sensing change detection (RSCD) methods only rely
on binary ground-truth to guide the network learning while neglecting the useful semantic …
on binary ground-truth to guide the network learning while neglecting the useful semantic …
LRDE-Net: Large receptive field and image difference enhancement network for remote sensing images change detection
L Li, L Wang, A Du, Y Li - IEEE Journal of Selected Topics in …, 2023 - ieeexplore.ieee.org
In the field of remote sensing, change detection is a crucial study area. Deep learning has
made significant strides in the study of remote sensing image change detection during the …
made significant strides in the study of remote sensing image change detection during the …