全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

An Irrelevant Amplitude-Phase Algorithm for INSAR Raw Data Compression
一种INSAR原始数据的幅相分离压缩算法

Keywords: 干涉合成孔径雷达,幅相压缩算法,原始数据压缩,相关系数,INSAR,干涉数据,相分离,压缩算法,Data,Compression,相位信息,信号幅度,压缩比,结果,比较,压缩效果,残余点,相似度,相关系数,压缩试验,分析,理论,相关性,干涉测量,特性

Full-Text   Cite this paper   Add to My Lib

Abstract:

An irrelevant Amplitude-Phase (AP) algorithm is used in raw data compression according to the bulky raw data of Interferometric Synthetic Aperture Radar(INSAR) system. The new algorithm is based on the statistical property and the high correlation between the two channels of INSAR. Amplitude and phase of raw data are compressed irrelevantly. Detail analysis in theory is given and experiment with real data is undertaken. Comparisons are made with BAQ algorithm at aspects of correlation, fringe similarity index and residuals. The results show that AP algorithm is superior to BAQ algorithm at the same reduction ratio. Thereby AP algorithm preserves more information of amplitude and phase.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133