z-logo
open-access-imgOpen Access
Post hoc Uncertainty Quantification for Remote Sensing Observing Systems
Author(s) -
Amy Braverman,
Jonathan Hobbs,
Joaquim Teixeira,
M. R. Gunson
Publication year - 2021
Publication title -
siam/asa journal on uncertainty quantification
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.094
H-Index - 29
ISSN - 2166-2525
DOI - 10.1137/19m1304283
Subject(s) - monte carlo method , computer science , remote sensing , uncertainty quantification , process (computing) , observatory , point (geometry) , algorithm , data mining , statistics , machine learning , mathematics , geology , physics , geometry , astrophysics , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom