Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection.
- DOI
- 10.1016/j.jag.2022.102804
- Published
- 2022 Jun
- Container
- International journal of applied earth observation and geoinformation : ITC journal
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.jag.2022.102804,
title = {Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection.},
author = {Li H and Zech J and Hong D and Ghamisi P and Schultz M and Zipf A},
year = {2022},
journal = {International journal of applied earth observation and geoinformation : ITC journal},
doi = {10.1016/j.jag.2022.102804},
url = {https://doi.org/10.1016/j.jag.2022.102804}
}RIS
TY - JOUR TI - Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection. AU - Li H AU - Zech J AU - Hong D AU - Ghamisi P AU - Schultz M AU - Zipf A PY - 2022 JO - International journal of applied earth observation and geoinformation : ITC journal DO - 10.1016/j.jag.2022.102804 UR - https://doi.org/10.1016/j.jag.2022.102804 ER -
APA
H, L., J, Z., D, H., P, G., M, S., & A, Z. (2022). Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection.. International journal of applied earth observation and geoinformation : ITC journal. https://doi.org/10.1016/j.jag.2022.102804
Source records
- pubmed · retrieved 2026-09-25T12:25:29.247Z