Title
On Optimal Imaging Angles in Multi-Angle Ocean Sun Glitter Remote-Sensing Platforms to Observe Sea Surface Roughness.
Abstract
Sea surface roughness (SSR) is a key physical parameter in studies of air-sea interactions and the ocean dynamics process. The SSR quantitative inversion model based on multi-angle sun glitter (SG) images has been proposed recently, which will significantly promote SSR observations through multi-angle remote-sensing platforms. However, due to the sensitivity of the sensor view angle (SVA) to SG, it is necessary to determine the optimal imaging angle and their combinations. In this study, considering the design optimization of imaging geometry for multi-angle remote-sensing platforms, we have developed an error transfer simulation model based on the multi-angle SG remote-sensing radiation transmission and SSR estimation models. We simulate SSR estimation errors at different imaging geometry combinations to evaluate the optimal observation geometry combination. The results show that increased SSR inversion accuracy can be obtained with SVA combinations of 0 degrees and 20 degrees for nadir- and backward-looking SVA compared with current combinations of 0 degrees and 27.6 degrees. We found that SSR inversion prediction error using the proposed model and actual SSR inversion error from field buoy data are correlated. These results can provide support for the design optimization of imaging geometry for multi-angle ocean remote-sensing platforms.
Year
DOI
Venue
2019
10.3390/s19102268
SENSORS
Keywords
Field
DocType
sun glitter,sea surface roughness,multi-angle remote-sensing platform,imaging geometry,optimal imaging angle
Nadir,Buoy,Mean squared prediction error,Inversion (meteorology),Remote sensing,Ocean dynamics,Engineering,Sun glitter,Surface roughness,Radiation
Journal
Volume
Issue
ISSN
19
10.0
1424-8220
Citations 
PageRank 
References 
0
0.34
0
Authors
9
Name
Order
Citations
PageRank
Dazhuang Wang100.34
Liaoying Zhao23615.93
Huaguo Zhang3173.25
Juan Wang410927.00
Xiulin Lou541.82
Peng Chen641.88
Kaiguo Fan700.34
Aiqin Shi801.01
Donglin Li910.96