Vector quantization of raw polarimetric SAR data by using their statistical properties

被引：1
|
作者：
Morin, X [1 ]
Barba, D [1 ]
El Assad, S [1 ]
机构：
[1] IRESTE, Lab Syst Elect & Informat, EP CNRS 63, F-44306 Nantes 3, France
来源：
IMAGE PROCESSING, SIGNAL PROCESSING, AND SYNTHETIC APERTURE RADAR FOR REMOTE SENSING | 1997年 / 3217卷
关键词：
compression; correlation; holography; polarization; vector quantization; Synthetic Aperture Radar;
D O I：
10.1117/12.295594
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Satellite radar imaging requires the transmission of a huge amount of data, since the image reconstruction can not usually be directly accomplished on board. A compression scheme is therefore needed. The current image resolutions do not allow lossless type of coding. The statistical properties of the signal are besides often discarded. However, the correlation of this signal can be exploited in order to increase the compression algorithms performances. This paper shows compression techniques examples and the contribution of the statistical properties of the signal for compression purpose.
引用
收藏
页码：124 / 131
页数：8
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