Paper Info
Title
Simultaneous Least-Squares Registration Of Satellite Time Series
Abstract
This paper presents a new technique able to register satellite time series made up of several images within a global Least Squares adjustment. The method improves traditional 'master-to-slave' registration approaches and extends the pairwise registration concept towards block adjustment. Its main advantage concerns the combined analysis of multiple images, avoiding standard matching between one 'master' and several 'slave' images. This results in a better control of errors and a more robust and reliable Least Squares solution with full error propagation. Application to Landsat TM images is reported to show the performance of the simultaneous Least Squares registration.
Year
Venue
Keywords
2014
2014 6TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS)
Least Squares Adjustment, Matching, Registration, Similarity, Time series
Field
DocType
ISSN
Least squares,Pairwise comparison,Computer vision,Time series,Satellite,Propagation of uncertainty,Computer science,Least squares adjustment,Artificial intelligence,Image registration
Conference
2158-6268
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Luigi Barazzetti13911.39
Marco Gianinetto2369.44
Marco Scaioni39716.34