Brunel University Research Archive(BURA) preserves and enables easy and open access to all
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to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/18189| Title: | End-to-end Change Detection Using a Symmetric Fully Convolutional Network for Landslide Mapping |
| Authors: | Lei, T Zhang, Q Xue, D Chen, T Meng, H Nandi, A |
| Issue Date: | 17-Apr-2019 |
| Publisher: | IEEE |
| Citation: | ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, pp. 3027 - 3031 (4) |
| URI: | http://bura.brunel.ac.uk/handle/2438/18189 |
| DOI: | http://dx.doi.org/10.1109/ICASSP.2019.8682802 |
| ISSN: | 2379-190X http://dx.doi.org/10.1109/ICASSP.2019.8682802 |
| Appears in Collections: | Dept of Electronic and Electrical Engineering Theses |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | 2.07 MB | Adobe PDF | View/Open |
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