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
fDate :
7/1/2015 12:00:00 AM
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)"
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
Electronic_ISBN :
2153-7003
DOI :
10.1109/IGARSS.2015.7326882