The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Assessment of the Added-Value of Sentinel-2 for Detecting Built-up Areas
Open accessAbstract
Monitoring of the human-induced changes and the availability of reliable and methodologically consistent urban area maps are essential to support sustainable urban development on a global scale. The Global Human Settlement Layer (GHSL) is a project funded by the European Commission, Joint Research Centre, which aims at providing scientific methods and systems for reliable and automatic mapping of built-up areas from remote sensing data. In the frame of the GHSL, the opportunities offered by the recent availability of Sentinel-2 data are being explored using a novel image classification method, called Symbolic Machine Learning (SML), for detailed urban land cover mapping. In this paper, a preliminary test was implemented with the purpose of: (i) assessing the applicability of the SML classifier on Sentinel-2 imagery; (ii) evaluating the complementarity of Sentinel-1 and Sentinel-2; and (iii) understanding the added-value of Sentinel-2 with respect to Landsat for improving global high-resolution human settlement mapping. The overall objective is to explore areas of improvement, including the possibility of synergistic use of the different sensors. The results showed that noticeable improvement of the quality of the classification could be gained from the increased spatial detail and from the thematic contents of Sentinel-2 compared to the Landsat derived product as well as from the complementarity between Sentinel-1 and Sentinel-2 images.
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Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
Powers, D. M. W. (2020) · arXiv · doi:10.48550/arxiv.2010.16061 · Cited by 5,440
The Balanced Accuracy and Its Posterior Distribution
Brodersen, K. H., Ong, C. S., Stephan, K. E., & Buhmann, J. M. (2010) · 2010 20th International Conference on Pattern Recognition · doi:10.1109/icpr.2010.764 · Cited by 1,816 · cited 1×
“The first one is the balanced accuracy (BA) from [30] and it corresponds to the Area Under the Curve from the Receiver-Operating Characteristic (ROC) analysis (Equation (7)).”
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Cited by
Congedo, L. (2021) · Journal of Open Source Software · doi:10.21105/joss.03172 · Cited by 503
Understanding an urbanizing planet: Strategic directions for remote sensing
Zhu, Z., Zhou, Y., Seto, K. C., Stokes, E. C., Deng, C., Pickett, S. T. A., & Taubenböck, H. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.04.020 · Cited by 398
Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network
Lanaras, C., Bioucas-Dias, J., Galliani, S., Baltsavias, E., & Schindler, K. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.09.018 · Cited by 371
Pesaresi, M., Schiavina, M., Politis, P., Freire, S., Krasnodębska, K., Uhl, J. H., Carioli, A., Corbane, C., Dijkstra, L., Florio, P., et al. (2024) · International Journal of Digital Earth · doi:10.1080/17538947.2024.2390454 · Cited by 292
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Metadata
- Authors
- Pesaresi, M., Corbane, C., Julea, A., Florczyk, A., Syrris, V., & Soille, P.
- Venue
- Remote Sensing
- Publisher
- MDPI AG
- Published
- 2016-04-01
- Volume
- 8
- Issue
- 4
- Pages
- 299
- ISSN
- 2072-4292 (ISSN-L)
- OpenAlex
- W2331582811
- Cited by
- 200
- References
- 2
- FWCI
- 27.74
- Type
- journal article
- Language
- en
- Open access
- gold
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- Pesaresi, M., Corbane, C., Julea, A., Florczyk, A., Syrris, V., & Soille, P. (2016). Assessment of the Added-Value of Sentinel-2 for Detecting Built-up Areas. Remote Sensing. https://doi.org/10.3390/rs8040299
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