摘要
To avoid high bandwidth detector, fast speed A/D converter, and large size memory disk, a compressive full waveform LIDAR system, which uses a temporally modulated laser instead of a pulsed laser, is studied in this paper. Full waveform data from NEON (National Ecological Observatory Network) are used. Random binary patterns are used to modulate the source. To achieve 0.15 m ranging resolution, a 100 MSPS A/D converter is assumed to make measurements. SPIRAL algorithm with canonical basis is employed when Poisson noise is considered in the low illuminated condition.
源语言 | 英语 |
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主期刊名 | Compressive Sensing VI |
主期刊副标题 | From Diverse Modalities to Big Data Analytics |
编辑 | Fauzia Ahmad |
出版商 | SPIE |
ISBN(电子版) | 9781510609235 |
DOI | |
出版状态 | 已出版 - 2017 |
活动 | Compressive Sensing VI: From Diverse Modalities to Big Data Analytics 2017 - Anaheim, 美国 期限: 12 4月 2017 → 13 4月 2017 |
出版系列
姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
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卷 | 10211 |
ISSN(印刷版) | 0277-786X |
ISSN(电子版) | 1996-756X |
会议
会议 | Compressive Sensing VI: From Diverse Modalities to Big Data Analytics 2017 |
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国家/地区 | 美国 |
市 | Anaheim |
时期 | 12/04/17 → 13/04/17 |
指纹
探究 'Compressive full waveform lidar' 的科研主题。它们共同构成独一无二的指纹。引用此
Yang, W., & Ke, J. (2017). Compressive full waveform lidar. 在 F. Ahmad (编辑), Compressive Sensing VI: From Diverse Modalities to Big Data Analytics 文章 1021109 (Proceedings of SPIE - The International Society for Optical Engineering; 卷 10211). SPIE. https://doi.org/10.1117/12.2263395