Title
Automated Image Registration Based on Pseudoinvariant Metrics of Dynamic Land-Surface Features
Abstract
Accurate assessment of land-cover/land-use change is essential for understanding the impacts of global change and necessitates the use of satellite data. Satellite change detection requires large volumes of multitemporal images to be precisely registered. Image registration is particularly difficult in dynamic (i.e., rapidly time varying) landscapes since the changes themselves interfere with the ...
Year
DOI
Venue
2008
10.1109/TGRS.2008.2000636
IEEE Transactions on Geoscience and Remote Sensing
Keywords
Field
DocType
Image registration,Satellites,Lakes,Shape,Change detection algorithms,Arctic,Feature extraction,Computer vision,Remote sensing,Manuals
Computer vision,Thematic Mapper,Change detection,Remote sensing,Feature extraction,Geometric shape,Artificial intelligence,Pixel,Subpixel rendering,Centroid,Image registration,Mathematics
Journal
Volume
Issue
ISSN
46
11
0196-2892
Citations 
PageRank 
References 
17
0.79
17
Authors
3
Name
Order
Citations
PageRank
Chintan A. Shah1453.49
Yongwei Sheng2292.87
Laurence C. Smith37411.21