Multipath feature fusion for hyperspectral image classification based on hybrid 3D/2D CNN and squeeze-excitation network
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-022-00929-x.pdf
Reference59 articles.
1. Ahmad M, Khan A, Khan AM et al (2019) Spatial prior fuzziness pool-based interactive classification of hyperspectral images. Remote Sens 11:1–19. https://doi.org/10.3390/rs11091136
2. Ahmad M, Khan AM, Mazzara M, et al (2020) A fast and compact 3-D CNN for hyperspectral ımage classification. IEEE Geosci Remote Sens Lett 1–5. https://doi.org/10.1109/LGRS.2020.3043710
3. Alcolea A, Paoletti ME, Haut JM et al (2020) Inference in supervised spectral classifiers for on-board hyperspectral imaging: An overview. Remote Sens 12:1–29. https://doi.org/10.3390/rs12030534
4. Ben Hamida A, Benoit A, Lambert P, Ben Amar C (2018) 3-D deep learning approach for remote sensing image classification. IEEE Trans Geosci Remote Sens 56:4420–4434. https://doi.org/10.1109/TGRS.2018.2818945
5. Blanzieri E, Melgani F (2008) Nearest neighbor classification of remote sensing images with the maximal margin principle. IEEE Trans Geosci Remote Sens 46:1804–1811. https://doi.org/10.1109/TGRS.2008.916090
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