Hyperspectral image super-resolution through clustering-based sparse representation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-020-09952-w.pdf
Reference46 articles.
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3. Boyd N, Parikh E, Chu BP, Eckstein J (2011) Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends Mach Learn 3(1):1–122
4. Casalino G, Gillis N (2017) Sequential dimensionality reduction for extracting localized features. Pattern Recogn 63:15–29
5. Dell’Acqua F, Gamba P, Ferrari A, Palmason JA, Benediktsson JA, Arnason K (2004) Exploiting spectral and spatial information in hyperspectral urban data with high resolution. IEEE Geosci Remote Sens Lett 1(4):322–326
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