Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject change detection
Showing results 1 to 5 of 5
| Issue Date | Title | Author(s) |
|---|---|---|
| 7-Mar-2025 | Dynamic Sparse Encoding and Cross-Temporal Attention for Remote Sensing Image Change Detection | Lin, S; Lei, T; Liu, T; Zhang, S; Min, C; Nandi, AK |
| 18-Jan-2019 | Landslide Inventory Mapping From Bitemporal Images Using Deep Convolutional Neural Networks | Lei, T; Zhang, Y; Lv, Z; Li, S; Liu, S; Nandi, AK |
| 23-Aug-2022 | Local and Global Feature Learning With Kernel Scale-Adaptive Attention Network for VHR Remote Sensing Change Detection | Lei, T; Xue, D; Ning, H; Yang, S; Lv, Z; Nandi, AK |
| 4-Jun-2023 | Local-Global Siamese Network with Efficient Inter-Scale Feature Learning for Change Detection in VHR Remote Sensing Images | Zhang, Y; Lei, T; Han, S; Xu, Y; Nandi, AK |
| 23-Dec-2021 | Unsupervised Change Detection Using Multiscale and Multiresolution Gaussian-Mixture-Model Guided by Saliency Enhancement | Xue, D; Lei, T; Jia, X; Wang, X; Chen, T; Nandi, AK |