Paper Info
Title
Iterative Pointing Angle Calibration Method for the Spaceborne Photon-Counting Laser Altimeter Based on Small-Range Terrain Matching.
Abstract
The satellite, Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) has been equipped with a new type of spaceborne laser altimeter, which has the benefits of having small footprints and a high repetition rate, and it can produce dense footprints on the ground. Focusing on the pointing angle calibration of this new spaceborne laser altimeter, this paper proposes a fast pointing angle calibration method using only a small range of terrain surveyed by airborne lidar. Based on the matching criterion of least elevation difference, an iterative pointing angle calibration method was proposed. In the experiment, the simulated photon-counting laser altimeter data and the Ice, Cloud and Land Elevation Satellite-2 data were used to verify the algorithm. The results show that when 1 km and 2.5 km lengths of track were used, the pointing angle error after calibration could be reduced to about 0.3 arc-seconds and less than 0.1 arc-seconds, respectively. Meanwhile, compared with the traditional pyramid search method, the proposed iterative pointing angle calibration method does not require well-designed parameters, which are important in the pyramid search method to balance calculation time and calibration result, and the iterative pointing angle calibration method could significantly reduce the calibration time to only about one-fifth of that of the pyramid search method.
Year
DOI
Venue
2019
10.3390/rs11182158
REMOTE SENSING
Keywords
Field
DocType
spaceborne laser altimeter,photon-counting,terrain matching,pointing angle calibration,ICESat-2
Photon counting,Altimeter,Remote sensing,Terrain,Laser,Geology,Calibration
Journal
Volume
Issue
Citations 
11
18
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Yaming Nan100.34
Zhihui Feng200.34
Enhai Liu301.69
Bincheng Li400.68