Name
Abstract | ||
|---|---|---|
This paper describes a methodology that uses Hyperion imagery as reference data to calibrate the Chinese Hyperspectral Imager (HSI) onboard the HJ-1A satellite. Two test sites near Dunhuang in Gansu and in Inner Mongolia were used for the cross-calibration. To account for the uncertainties in the top of atmosphere (TOA) reflectance due to the bidirectional reflectance distribution function (BRDF) and relative spectral response (RSR) differences between the two sensors, a model is adopted to transfer the Hyperion TOA reflectance to the effective HSI TOA reflectance. The influence of BRDF is analyzed, and two BRDF correction approaches are applied to the two test sites, respectively. For the Dunhuang test site, the ground synchronously measured reflectance in different solar zenith angles is used for BRDF correction. For the Inner Mongolia test site, a kernel-driven model is applied. The influence of RSR mismatch is computed using a spectral profile adjustment factor (SPAF), which takes into account the spectral profile of the target and the RSR of each sensor. The SPAF is calculated according to the TOA reflectance simulated using moderate resolution atmospheric transmission. One-point calibration and multipoint calibration coefficients are computed, respectively. Ground reflectance data measured in June 2010 at the Inner Mongolia test site were used to validate the cross-calibration coefficients based on the Hyperion image. The results support the proposal that the cross-calibration method between two hyperspectral sensors is effective, and the use of multipoint calibration coefficient with nonzero offset has great potential for hyperspectral sensor calibration. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TGRS.2015.2391292 | IEEE T. Geoscience and Remote Sensing |
Keywords | Field | DocType |
relative spectral response difference,geophysical techniques,ground reflectance data,chinese hyperspectral imager,hj-1a satellite,rsr difference,calibration,spectral profile adjustment factor,ground synchronously measured reflectance,hyperion data,gansu,multipoint calibration coefficient,toa reflectance uncertainty,brdf correction,brdf correction approach,rsr spectral profile,rsr mismatch,kernel-driven model,hyperspectral imager (hsi),hyperion,dunhuang test site,hsi calibration reference data,bidirectional reflectance distribution function (brdf),moderate resolution atmospheric transmission,effective hsi toa reflectance,spaf,target spectral profile,hyperion toa reflectance transfer,inner mongolia test site,hyperspectral sensor cross-calibration method,cross-calibration,hyperspectral sensor calibration,hsi sensor reflective solar bands cross-calibration,ad 2010 06,top-of-atmosphere reflectance,spectral profile adjustment factor (spaf),hyperspectral imaging,nonzero offset,one-point calibration coefficient,cross-calibration coefficient validation,solar zenith angle,bidirectional reflectance distribution function,radiometry,azimuth,hyperspectral sensors,satellites | Reference data (financial markets),Bidirectional reflectance distribution function,Computer vision,Satellite,Remote sensing,Azimuth,Hyperspectral imaging,Radiometry,Artificial intelligence,Mathematics,Calibration,Zenith | Journal |
Volume | Issue | ISSN |
53 | 7 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hailiang Gao | 1 | 3 | 3.54 |
| David L. B. Jupp | 2 | 44 | 11.12 |
| Yi Qin | 3 | 398 | 45.11 |
| Xingfa Gu | 4 | 54 | 36.00 |
| Tao Yu | 5 | 27 | 15.23 |