scholarly journals Low complexity efficient raw SAR data compression

Author(s):  
Shantanu Rane ◽  
Petros Boufounos ◽  
Anthony Vetro ◽  
Yu Okada
2020 ◽  
Vol 12 (2) ◽  
pp. 206-215
Author(s):  
Hang Zou ◽  
Fengjun Zhao ◽  
Xiaoxue Jia ◽  
Heng Zhang ◽  
Wei Wang

2004 ◽  
Vol 1 (2) ◽  
pp. 90-93 ◽  
Author(s):  
D. Gleich ◽  
B. Gergic ◽  
Z. Cucej ◽  
P. Planinsic

2013 ◽  
Vol 380-384 ◽  
pp. 1477-1481
Author(s):  
Zhi Peng Jin ◽  
Yu Yan Fang ◽  
Mei Yu

in order to improve the efficiency of ray-space data compression, according to the texture characteristics of ray space data, introducing a simple effective method of texture classification, a new fast block matching algorithm based on adaptive template selection is proposed in this paper, for prediction coding of ray space slice sequence. Experimental results show that the proposed algorithm has low-complexity and high-performance characteristics, for different types of ray space slice sequences with strong adaptability.


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