Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Compressive Sensing VI |
| Subtitle of host publication | From Diverse Modalities to Big Data Analytics |
| Editors | Fauzia Ahmad |
| Publisher | SPIE |
| ISBN (Electronic) | 9781510609235 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | Compressive Sensing VI: From Diverse Modalities to Big Data Analytics 2017 - Anaheim, United States Duration: 12 Apr 2017 → 13 Apr 2017 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 10211 |
| ISSN (Print) | 0277-786X |
| ISSN (Electronic) | 1996-756X |
Conference
| Conference | Compressive Sensing VI: From Diverse Modalities to Big Data Analytics 2017 |
|---|---|
| Country/Territory | United States |
| City | Anaheim |
| Period | 12/04/17 → 13/04/17 |
Keywords
- Full waveform Lidar
- compressive sensing
- high resolution
- low illuminated condition
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Yang, W., & Ke, J. (2017). Compressive full waveform lidar. In F. Ahmad (Ed.), Compressive Sensing VI: From Diverse Modalities to Big Data Analytics Article 1021109 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10211). SPIE. https://doi.org/10.1117/12.2263395