Name
Abstract | ||
|---|---|---|
The extraction of structural object metrics from a next-generation remote sensing modality, namely waveform Light Detection and Ranging (LiDAR), has garnered increasing interest from the remote sensing research community. However, the raw incoming (received) LiDAR waveform typically exhibits a stretched, misaligned, and relatively distorted character. In other words, the LiDAR signal is smeared an... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TGRS.2011.2178420 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Laser radar,Noise,Vegetation mapping,Vegetation,Deconvolution,Remote sensing,Data models | Noise reduction,Computer vision,Impulse response,Remote sensing,Waveform,Deconvolution,Lidar,Ranging,Digital imaging,Artificial intelligence,Image registration,Mathematics | Journal |
Volume | Issue | ISSN |
50 | 8 | 0196-2892 |
Citations | PageRank | References |
4 | 0.99 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiaying Wu | 1 | 40 | 6.00 |
| jan van aardt | 2 | 33 | 10.55 |
| Joseph McGlinchy | 3 | 4 | 0.99 |
| Gregory P Asner | 4 | 127 | 20.91 |