Land cover change detection techniques: Very-high-resolution optical images: A review
Land cover change detection (LCCD) with remote sensing images is an important
application of Earth observation data because it provides insights into environmental health …
application of Earth observation data because it provides insights into environmental health …
DASNet: Dual attentive fully convolutional Siamese networks for change detection in high-resolution satellite images
Change detection is a basic task of remote sensing image processing. The research
objective is to identify the change information of interest and filter out the irrelevant change …
objective is to identify the change information of interest and filter out the irrelevant change …
End-to-end change detection for high resolution satellite images using improved UNet++
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 …
using available Earth observation data. Due to the great advantages in deep feature …
Spatial–spectral attention network guided with change magnitude image for land cover change detection using remote sensing images
Z Lv, F Wang, G Cui, JA Benediktsson… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Land cover change detection (LCCD) using remote sensing images (RSIs) plays an
important role in natural disaster evaluation, forest deformation monitoring, and wildfire …
important role in natural disaster evaluation, forest deformation monitoring, and wildfire …
SemiCDNet: A semisupervised convolutional neural network for change detection in high resolution remote-sensing images
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 …
increasing popularity of deep learning, most recent developments of CD methods have …
S2Looking: A satellite side-looking dataset for building change detection
L Shen, Y Lu, H Chen, H Wei, D Xie, J Yue, R Chen… - Remote Sensing, 2021 - mdpi.com
Building-change detection underpins many important applications, especially in the military
and crisis-management domains. Recent methods used for change detection have shifted …
and crisis-management domains. Recent methods used for change detection have shifted …
[HTML][HTML] ADS-Net: An Attention-Based deeply supervised network for remote sensing image change detection
D Wang, X Chen, M Jiang, S Du, B Xu… - International Journal of …, 2021 - Elsevier
Change detection technology is an important key to analyze remote sensing data and is of
great significance for accurate comprehension of the earth's surface changes. With the …
great significance for accurate comprehension of the earth's surface changes. With the …
AERNet: An attention-guided edge refinement network and a dataset for remote sensing building change detection
Advancements in Earth observation technology enable the detection of surface changes in
intricate urban environments. Building change detection (BCD) plays a crucial role in urban …
intricate urban environments. Building change detection (BCD) plays a crucial role in urban …
High-resolution triplet network with dynamic multiscale feature for change detection on satellite images
Change detection in remote sensing images aims to accurately determine any significant
land surface changes based on acquired multi-temporal image data, being a pivotal task of …
land surface changes based on acquired multi-temporal image data, being a pivotal task of …
Spatial-contextual information utilization framework for land cover change detection with hyperspectral remote sensed images
Land cover change detection (LCCD) using bitemporal remote sensing images is a crucial
task for identifying the change areas on the Earth's surface. However, the utilization of …
task for identifying the change areas on the Earth's surface. However, the utilization of …