https://scholars.lib.ntu.edu.tw/handle/123456789/388811
標題: | A recursive approach to improve the image quality in well-logging environments | 作者: | Y.-H. Kuo JEAN-FU KIANG |
公開日期: | 七月-2014 | 來源出版物: | URSI Radio Science Meeting | 摘要: | A three-stage recursive approach is proposed to improve the recovered distribution of electric parameters in a well-logging environment. The first stage is executed using the conventional linear sampling method (LSM) and the contrast source inversion (CSI) method. In the second stage, the background distribution is updated to better identify the target shape, using the recovered results in the first stage. In the third stage, the background distribution is made closer to the results in stage two, which improves the recovered distribution near the target boundary. The effect of noise is also simulated. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84987600866&doi=10.2528%2fPIERB14061302&partnerID=40&md5=54a2bf7d6628af4dfe53eee90fa86139 | DOI: | 10.1109/USNC-URSI.2014.6955433 | SDG/關鍵字: | Recovery; Contrast source inversion; Effect of noise; Electric parameters; Linear sampling methods; Recursive approach; Target shape; Well logging |
顯示於: | 電信工程學研究所 |
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