2022
DOI: 10.1109/jstars.2022.3183594
|View full text |Cite
|
Sign up to set email alerts
|

Combined Adjustment Pipeline for Improved Global Geopositioning Accuracy of Optical Satellite Imagery With the Aid of SAR and GLAS

Abstract: Owing to the widespread availability of multiple remote sensing methods, regions are often covered by satellite observation from multiple sources. However, the geometric positioning accuracy of optical satellites, which are the most common data source, is generally insufficient. An intuitive idea to improve accuracy is to integrate the dominant accuracy of multisource information. Previous studies have used synthetic aperture radar (SAR) and Geoscience Laser Altimetry System (GLAS) data with improved geo-posit… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 24 publications
0
1
0
Order By: Relevance
“…They further utilized column generation techniques to establish an upper bound for the problem, subsequently evaluating satellite scheduling solutions against this benchmark. SAR satellites, unlike optical satellite systems, are capable of performing tasks under diverse weather conditions [21], [22]. These satellites operate based on distinct working princi ples and constraints compared to optical satellites.…”
Section: B Related Workmentioning
confidence: 99%
“…They further utilized column generation techniques to establish an upper bound for the problem, subsequently evaluating satellite scheduling solutions against this benchmark. SAR satellites, unlike optical satellite systems, are capable of performing tasks under diverse weather conditions [21], [22]. These satellites operate based on distinct working princi ples and constraints compared to optical satellites.…”
Section: B Related Workmentioning
confidence: 99%