Name
Abstract | ||
|---|---|---|
The effect of Bidirectional Reflectance Distribution Function (BRDF) is one of the most important factors to calibrate reflectance obtained from remotely sensed data. Because the measured BRDF data involve noise caused by various factors, BRDF model parameter estimation tends to become unstable. We examined parameter estimation robustness by using BRDF data measured at paddy fields in Japan, and experimental result of the estimation is described in this paper. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1027253 | IGARSS |
Keywords | Field | DocType |
agriculture,geophysical techniques,light scattering,terrain mapping,vegetation mapping,350 to 800 nm,brdf,japan,oryza sativa,bidirectional reflectance distribution function,crops,geophysical measurement technique,land surface,model parameter estimation,paddy fields,reflectance,remote sensing,rice,robust model,robustness,view angle,kernel,satellites,paddy field,parameter estimation,reflectivity,distribution functions | Bidirectional reflectance distribution function,Kernel (linear algebra),Satellite,Computer science,Remote sensing,Robustness (computer science),Estimation theory,Distribution function,Model parameter,Calibration | Conference |
Volume | ISBN | Citations |
6 | 0-7803-7536-X | 0 |
PageRank | References | Authors |
0.34 | 1 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junichi Susaki | 1 | 52 | 13.83 |
| Keitarou Hara | 2 | 31 | 5.55 |
| Jonggeol Park | 3 | 14 | 5.70 |
| Yoshizumi Yasuda | 4 | 0 | 1.01 |
| Koji Kajiwara | 5 | 10 | 5.14 |
| Yoshiaki Honda | 6 | 9 | 5.08 |