Choosing the Quantization Bits and Quantization Method of Synthetic Aperture Radar Image

被引：0

作者：

Wu Honghan ^{[1
]}

Feng Jin ^{[1
]}

机构：

[1] DFH Satellite Co Ltd, CAST, CASC, Beijing, Peoples R China

来源：

SEVENTH SYMPOSIUM ON NOVEL PHOTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATIONS | 2021年 / 11763卷

关键词：

Image quality; quantization; SAR signal-to-noise ratio;

D O I：

10.1117/12.2586909

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In order to facilitate the storage and secondary processing, an effective down sampling method is developed to improve the image processing rate while reducing the image quality loss after focusing the echo of the miniature SAR equipment. The article briefly introduces the micro- and miniature digital synthetic aperture radar image storage. Using two aspects of reading processing efficiency rate and algorithm analysis of the relationship between digit image storage and image quality. In detail, the article introduces the synthetic aperture radar image sampling method. After getting simulation result with different quantization methods, the article analyze the differences of images' signal-to-noise ratio(SNR) and quantization noise. According to the simulation results, the non-uniform quantization method proposed in this paper can improve the noise ratio.

引用

页数：8