The DOI matches its Crossref record; 44 of the 45 references it cites were found in a registry or an index.
Multiclass feature learning for hyperspectral image classification: Sparse and hierarchical solutions
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“Early studies concerning LULC classification based on DL mostly focused on feature representation or learning, while the final classification used other simpler classifiers (Tuia et al., 2015).”
From Deep learning in remote sensing applications: A meta-analysis and review (2019) · cites this paper as Tuia et al., 2015
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Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
Zhu, X. X., Tuia, D., Mou, L., Xia, G.-S., Zhang, L., Xu, F., & Fraundorfer, F. (2017) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2017.2762307 · Cited by 3,400
Self-citationDeep learning in remote sensing applications: A meta-analysis and review
Ma, L., Liu, Y., Zhang, X., Ye, Y., Yin, G., & Johnson, B. A. (2019) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2019.04.015 · Cited by 2,456
Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
Zhang, L., Zhang, L., & Du, B. (2016) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2016.2540798 · Cited by 2,272
Deep learning classifiers for hyperspectral imaging: A review
Paoletti, M. E., Haut, J. M., Plaza, J., & Plaza, A. (2019) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2019.09.006 · Cited by 1,147
Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?
Penatti, O. A. B., Nogueira, K., & dos Santos, J. A. (2015) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2015.7301382 · Cited by 740
Metadata
- Authors
- Tuia, D., Flamary, R., & Courty, N.
- Affiliations
- University of Zurich (CH)
- Centre National de la Recherche Scientifique (FR)
- Université de Bretagne Sud (FR)
- Corresponding author
- Tuia, Devis
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 105
- Pages
- 272-285
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W2063102607
- Cited by
- 102
- References
- 45
- Citations by year
- 2026: 4 · 2025: 1 · 2023: 3 · 2022: 3 · 2021: 9 · 2020: 15 · 2019: 17 · 2018: 13 · 2017: 15 · 2016: 15 · 2015: 7
- FWCI
- 24.90
- Type
- journal article
- Language
- en
- Open access
- green
- research.wur.nl
- Locations
- ISPRS Journal of Photogrammetry and Remote Sensing (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion)
- Socio-Environmental Systems Modeling (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- HAL (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- arXiv (Cornell University)
- Zurich Open Repository and Archive (University of Zurich)
- Funders
- Swiss National Science Foundation (PP00P2_150593)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Remote-Sensing Image Classification
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Physical Sciences › Engineering › Media Technology › Advanced Image Fusion Techniques
- Keywords
- hyperspectral image classification, sparse feature learning, hierarchical feature learning, nonlinear classification, urban land cover classification, multimodal data
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