Enhancing hyperspectral image compression using learning-based super-resolution technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-021-00623-4.pdf
Reference42 articles.
1. Abd El-Samie FE, Hadhoud MM, El-Khamy SE (2019) Image super-resolution and applications. CRC Press, USA
2. Aggarwal CC (2018) Neural networks and deep learning. Springer, USA
3. Agrawal N, Verma K (2020) Dimensionality reduction on hyperspectral data set. In: First international conference on power, control and computing technologies, Raipur, Chhatisgarh, India, 2020
4. Barreto D, Alvarez LD, Molina R et al (2007) Region-based super-resolution for compression. Multidim Syst Sign Process 18:59–81. https://doi.org/10.1007/s11045-007-0019-y
5. Báscones D, González C, Mozos D (2018) Hyperspectral image compression using vector quantization, PCA and JPEG2000. Remote Sens 10(6):907. https://doi.org/10.3390/rs10060907
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