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Title: System and method to fuse multiple sources of optical data to generate a high-resolution, frequent and cloud-/gap-free surface reflectance product

Abstract

Aspects of the subject disclosure may include, for example, performing, by a processing system, image fusion using two or more groups of images to generate predicted images, wherein each group of the two or more groups has one of a different resolution, a different frequency temporal pattern or a combination thereof than another of the two or more groups. Gap filling can be performed by the processing system to correct images of the two or more groups. Additional embodiments are disclosed.

Inventors:
; ;
Issue Date:
Research Org.:
Univ. of Illinois at Urbana-Champaign, IL (United States)
Sponsoring Org.:
USDOE; National Aeronautics and Space Administration (NASA); National Science Foundation (NSF)
OSTI Identifier:
2222033
Patent Number(s):
11715181
Application Number:
16/968,364
Assignee:
The Board of Trustees of the University of Illinois (Urbana, IL)
DOE Contract Number:  
ACI-1238993; NNX16AI56G; OCI-0725070
Resource Type:
Patent
Resource Relation:
Patent File Date: 02/08/2019
Country of Publication:
United States
Language:
English

Citation Formats

Guan, Kaiyu, Peng, Jian, and Luo, Yunan. System and method to fuse multiple sources of optical data to generate a high-resolution, frequent and cloud-/gap-free surface reflectance product. United States: N. p., 2023. Web.
Guan, Kaiyu, Peng, Jian, & Luo, Yunan. System and method to fuse multiple sources of optical data to generate a high-resolution, frequent and cloud-/gap-free surface reflectance product. United States.
Guan, Kaiyu, Peng, Jian, and Luo, Yunan. Tue . "System and method to fuse multiple sources of optical data to generate a high-resolution, frequent and cloud-/gap-free surface reflectance product". United States. https://www.osti.gov/servlets/purl/2222033.
@article{osti_2222033,
title = {System and method to fuse multiple sources of optical data to generate a high-resolution, frequent and cloud-/gap-free surface reflectance product},
author = {Guan, Kaiyu and Peng, Jian and Luo, Yunan},
abstractNote = {Aspects of the subject disclosure may include, for example, performing, by a processing system, image fusion using two or more groups of images to generate predicted images, wherein each group of the two or more groups has one of a different resolution, a different frequency temporal pattern or a combination thereof than another of the two or more groups. Gap filling can be performed by the processing system to correct images of the two or more groups. Additional embodiments are disclosed.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {8}
}

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