DocumentCode
3691041
Title
Mutual information upper bond of compressed data using block adaptive quantization algorithm
Author
Haojie Zhang;Jie Chen;Hongcheng Zeng;Jingwen Li;Wei Yang
Author_Institution
School of Electronics and Information Engineering, BeiHang University, Beijing, CHINA, 100191
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
4715
Lastpage
4718
Abstract
Block adaptive quantization (BAQ) is widely utilized for reducing downlink data rate of spaceborne synthetic aperture radar (SAR). The mutual information upper bond of BAQ compressed data is proposed by means of establishing a mathematical mapping relationship between output signal entropy and input signal saturation degree, using information theoretical analysis method. Threshold saturation degree of input signal for BAQ to be effective are also obtained. Simulation SAR raw data are used to verify the correctness of the mapping relationship.
Keywords
"Yttrium","Entropy","Synthetic aperture radar","Data models","Data compression","Standards","Quantization (signal)"
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
ISSN
2153-6996
Electronic_ISBN
2153-7003
Type
conf
DOI
10.1109/IGARSS.2015.7326882
Filename
7326882
Link To Document