Study on the Sparse Sub-block Microwave Imaging Based on Lasso(In English)

Study on the Sparse Sub-block Microwave Imaging Based on Lasso(In English)

Sparse microwave imaging requires nonlinear algorithm that is expensive for large scene imaging. Therefore, the sub-block imaging method is studied, in which the measured data and the relative imaging region is divided into sub-blocks, and then sparse microwave imaging algorithm based on Least absol...

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Bibliografski detalji
Glavni autori: Xiang Yin, Zhang Bing-chen, Hong Wen
Format: Članak
Jezik:English
Izdano: China Science Publishing & Media Ltd. (CSPM) 2013-09-01
Serija:Leida xuebao
Teme:
Microwave imaging
Sparse signal processing
Sparse microwave imaging
Least absolute shrinkage and selection operator (Lasso)
Sub-block imaging
Online pristup:http://radars.ie.ac.cn/EN/abstract/abstract109.shtml#

Internet

http://radars.ie.ac.cn/EN/abstract/abstract109.shtml#

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