The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox
Open accessAbstract
Hyperspectral images (HSIs) provide detailed spectral information through hundreds of (narrow) spectral channels (also known as dimensionality or bands), which can be used to accurately classify diverse materials of interest. The increased dimensionality of such data makes it possible to significantly improve data information content but provides a challenge to conventional techniques (the so-called curse of dimensionality) for accurate analysis of HSIs.
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Cites
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Cited by
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification
Hong, D., Gao, L., Yokoya, N., Yao, J., Chanussot, J., Du, Q., & Zhang, B. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.3016820 · Cited by 1,374
Self-citationDeep learning in multimodal remote sensing data fusion: A comprehensive review
Li, J., Hong, D., Gao, L., Yao, J., Zheng, K., Zhang, B., & Chanussot, J. (2022) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2022.102926 · Cited by 630
Self-citationSpatial-Spectral Transformer for Hyperspectral Image Classification
He, X., Chen, Y., & Lin, Z. (2021) · Remote Sensing · doi:10.3390/rs13030498 · Cited by 462
Vali, A., Comai, S., & Matteucci, M. (2020) · Remote Sensing · doi:10.3390/rs12152495 · Cited by 455
Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects
Ahmad, M., Shabbir, S., Roy, S. K., Hong, D., Wu, X., Yao, J., Khan, A. M., Mazzara, M., Distefano, S., & Chanussot, J. (2022) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2021.3133021 · Cited by 438
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Metadata
- Authors
- Rasti, B., Hong, D., Hang, R., Ghamisi, P., Kang, X., Chanussot, J., & Benediktsson, J. A.
- Venue
- IEEE Geoscience and Remote Sensing Magazine
- Published
- 2020-12
- Volume
- 8
- Issue
- 4
- Pages
- 60-88
- ISSN
- 2168-6831 (ISSN-L)
- 2473-2397
- 2373-7468
- OpenAlex
- W3046027728
- Cited by
- 537
- References
- 105
- FWCI
- 47.61
- Type
- journal article
- Language
- en
- Open access
- green
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- Rasti, B., Hong, D., Hang, R., Ghamisi, P., Kang, X., Chanussot, J., & Benediktsson, J. A. (2020). Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox. IEEE Geoscience and Remote Sensing Magazine. https://doi.org/10.1109/mgrs.2020.2979764
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