Name
Abstract | ||
|---|---|---|
The experiment plays an important role in the remote sensing applications and theoretical studies. In this study, the image rendering software POV-Ray was used to investigate the errors in the process of near-surface remote sensing experiment, by analyzing the features of four components' fractions (sunlit leaves, shaded leaves, sunlit soil and shaded soil) of typical row plants. The study shows: the model of pointing the sensor toward the targets while moving along the track induces the lowest errors among the three commonly-adopted experimental modes to sample the directional information of the targets; the mode of rotating the sensor around the fixing point brings about fluctuations around the true values, due to the variations of the targets during the experiment; increasing the distance from the sensor to the targets can improve the precision; however, it is not the larger, the better. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IGARSS.2012.6352538 | IGARSS |
Keywords | Field | DocType |
remote sensing,four components' fractions,pov-ray,sensor rotating,field experiment,error analysis,directional information,sunlit soil,near-surface remote sensing experiment,row plants,geophysical image processing,component fractions,remote sensing applications,image rendering software pov-ray,sensors,sunlit leaves,soil,fixing point,shaded soil,experimental modes,shaded leaves,fluctuations,measurement uncertainty | Computer vision,Field experiment,Computer science,Mode (statistics),Remote sensing,Measurement uncertainty,Remote sensing application,Artificial intelligence,Software rendering | Conference |
Volume | Issue | ISSN |
null | null | 2153-6996 E-ISBN : 978-1-4673-1158-8 |
ISBN | Citations | PageRank |
978-1-4673-1158-8 | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong Shang | 1 | 1 | 2.71 |
| Feng Zhao | 2 | 9 | 3.91 |
| Huijie Zhao | 3 | 56 | 17.39 |