Optimized weighted local kernel features for hyperspectral image classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12452-8.pdf
Reference38 articles.
1. Ahmadi SA, Mehrshad N (2020) Spectral-spatial feature extraction method for hyperspectral images classification using multiscale superpixel and covariance map. Geocarto Int:1–18. https://doi.org/10.1080/10106049.2020.1734874
2. Audebert N, Le Saux B, Lefèvre S (2019) Deep learning for classification of hyperspectral data: a comparative review. IEEE Geosci Remote Sensing Magazine 7(2):159–173. https://doi.org/10.1109/MGRS.2019.2912563
3. Beirami BA, Mokhtarzade M (2019) Spatial-spectral random patches network for classification of hyperspectral images. Traitement du Signal 36(5):399–406. https://doi.org/10.18280/ts.360504
4. Beirami B A, and Mokhtarzade M (2020) Spatial-spectral classification of hyperspectral images based on multiple fractal-based features. Geocarto International: 1–15. https://doi.org/10.1080/10106049.2020.1713232
5. Cheng G, Yang C, Yao X, Guo L, Han J (2018) When deep learning meets metric learning: remote sensing image scene classification via learning discriminative CNNs. IEEE Trans Geosci Remote Sens 56(5):2811–2821. https://doi.org/10.1109/TGRS.2017.2783902
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