Hyperspectral classification method based on M-ResHSDC
Author:
Funder
National Natural Science Foundation of China
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/s11042-023-17515-y.pdf
Reference32 articles.
1. Bioucas-Dias JM et al (2013) Hyperspectral remote sensing data analysis and future challenges. IEEE Geosci Remote Sens Mag 1(2):6–36
2. Kemker R, Kanan C (2017) Self-Taught Feature Learning for Hyperspectral Image Classification. IEEE Trans Geosci Remote Sens 55(5):2693–2705
3. Lu B et al (2020) Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture. Remote Sens 12(16):2659
4. Rao TCM et al (2012) A Hierarchical Hybrid SVM Method for Classification of Remotely Sensed Data. J Indian Soc Remote Sens 40:191–200
5. Liu G, Wang L, Liu D, Fei L, Yang J (2022) Hyperspectral Image Classification Based on Non-Parallel Support Vector Machine. Remote Sensing 14(10):2447
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