FIBTNet: Building Change Detection for Remote Sensing Images Using Feature Interactive Bi-Temporal Network
Source abstract
Abstract
In this paper, a feature interactive bi-temporal change detection network (FIBTNet) is designed to solve the problem of pseudo change in remote sensing image building change detection. The network improves the accuracy of cha... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Remote-Sensing Image Classification · Remote Sensing and Land Use · Remote Sensing in Agriculture
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (31)
Show source-provided references
1. Review and prospect in change detection of multi-temporal remote sensing images
2. A systematic approach for building change detection using multi-source data
3. Urban built-up area change detection using multi-band temporal texture and one-class random forest
4. Urban building damage detection from very high resolution imagery using one-class SVM and spatial relations
5. CNN-based generation of high-accuracy urban distribution maps utilising SAR satellite imagery for short-term change monitoring10.1080/19479832.2018.1491897 ↗
6. PGA-SiamNet: Pyramid feature-based attention-guided siamese network for remote sensing orthoimagery building change detection
7. Building change detection for remote sensing images using a dual-task constrained deep siamese convolutional network model10.1109/LGRS.2020.2988032 ↗
8. Fully convolutional siamese networks for change detection
9. A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images10.1016/j.isprsjprs.2020.06.003 ↗
10. Siamese network with multi-level features for patch-based change detection in satellite imagery
11. Changer: Feature interaction is what you need for change detection
12. A spatial-temporal attention-based method and a new dataset for remote sensing image change detection
13. Building change detection from remote sensing images using CAR-Siamese net,” (in Chinese)
14. SNUNet-CD: A densely connected siamese network for change detection of VHR images
15. Y. Wang, W. Huang, F. Sun, T. Xu, Y. Rong and J. Huang, “Deep multimodal fusion by channel exchanging,” 2020, arXiv:2011.05005.
16. Lightweight and progressively-scalable networks for semantic segmentation10.1007/s11263-023-01801-1 ↗
17. S2Looking: A satellite side-looking dataset for building change detection10.3390/rs13245094 ↗
18. Remote sensing image change detection with transformers
19. From W-Net to CDGAN: Bitemporal change detection via deep learning techniques10.1109/TGRS.2019.2948659 ↗
20. Kernel slow feature analysis for scene change detection10.1109/TGRS.2016.2642125 ↗
21. W. G. C. Bandara and V. M. Patel, “A transformer-based siamese network for change detection,” vol. 12, pp. 207–210, 2022. doi: 10.1109/IGARSS46834.2022.9883686.10.1109/IGARSS46834.2022.9883686 ↗
22. J. Lu, J. Yang, D. Batra, and D. Parikh, “Hierarchical question-image co-attention for visual question answering” 2016, arXiv:1606.00061.
23. Improved fusion of visual and language representations by dense symmetric co-attention for visual question answering10.1109/CVPR.2018.00637 ↗
24. Multi-modality cross attention network for image and sentence matching
25. Deformable siamese attention networks for visual object tracking10.1109/CVPR42600.2020.00676 ↗
26. MFI-CD: A lightweight Siamese network with multidimensional feature interaction for change detection10.1080/01431161.2024.2334778 ↗
27. SLDDNet: Stagewise short and long distance dependency network for remote sensing change detection
28. ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection10.1016/j.isprsjprs.2021.10.015 ↗
29. Squeeze-and-excitation networks10.1109/CVPR.2018.00745 ↗
30. CBAM: Convolutional block attention module
31. ChangeMamba: Remote sensing change detection with spatio-temporal state space model