Low complexity block tree coding for hyperspectral image sensors
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/s11042-022-13057-x.pdf
Reference81 articles.
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3. Bairagi VK, Sapkal AM, Gaikwad MS (2013) The role of transforms in image compression. Journal of The Institution of Engineers (India): Series B 94(2):135–140. https://doi.org/10.1007/s40031-013-0049-9
4. Bajpai S, Singh HV, Kidwai NR (2017) Feature extraction & classification of hyperspectral images using singular spectrum analysis & multinomial logistic regression classifiers. In IEEE International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) Aligarh, India: 97-100. 10.1109/MSPCT.2017.8363982
5. Bajpai, Shrish, Harsh Vikram Singh, and Naimur Rahman Kidwai (2019) 3D modified wavelet block tree coding for hyperspectral images. Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 15 (2): 1001–1008. https://doi.org/10.11591/ijeecs.v15.i2.pp1001-1008
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