Change detection methods for remote sensing in the last decade: A comprehensive review

G Cheng, Y Huang, X Li, S Lyu, Z Xu, H Zhao, Q Zhao… - Remote Sensing, 2024 - mdpi.com
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 …

CADUI: Cross-attention-based depth unfolding iteration network for pansharpening remote sensing images

Z Li, J Li, F Zhang, L Fan - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
Pansharpening is an important technology for remote sensing imaging systems to obtain
high-resolution multispectral (HRMS) images. It mainly obtains HRMS images with uniform …

Hierarchical independent coding scheme for varifocal multiview images based on angular-focal joint prediction

K Wu, Y Yang, Q Liu, G Jiang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Varifocal multiview (VFMV) images are dense views that focus on variable focal planes.
Thus, VFMV images are highly redundant in the angular, spatial and focal dimensions. In …

Interactive change-aware transformer network for remote sensing image change captioning

C Cai, Y Wang, KH Yap - Remote Sensing, 2023 - mdpi.com
Remote sensing image change captioning (RSICC) aims to automatically generate
sentences describing the difference in content in remote sensing bitemporal images. Recent …

ADF-Net: An Attention-Guided Dual-Branch Fusion Network for Building Change Detection near the Shanghai Metro Line Using Sequences of TerraSAR-X Images

P Chen, J Lin, Q Zhao, L Zhou, T Yang, X Huang, J Wu - Remote Sensing, 2024 - mdpi.com
Building change detection (BCD) plays a vital role in city planning and development,
ensuring the timely detection of urban changes near metro lines. Synthetic Aperture Radar …

Semi-Supervised SAR Image Change Detection via Structure-Optimized Complex-Valued Graph Contrastive Learning

H Li, B Zou, L Zhang, J Qin - IEEE Geoscience and Remote …, 2024 - ieeexplore.ieee.org
Significant progress has been achieved by using the graph convolutional network (GCN) in
image change detection. However, the limited quantity of labeled data and the inherent …

Change Detection in Synthetic Aperture Radar Images using Attention-based Siamese Network

VNS Vudattu, UC Pati - 2023 22nd International Symposium on …, 2023 - ieeexplore.ieee.org
Synthetic Aperture Radar (SAR) image Change Detection (CD) is an essential task in the
field of multitemporal remote sensing image analysis. However, the CD process is becoming …