Title | ||
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Automated Image Registration Based on Pseudoinvariant Metrics of Dynamic Land-Surface Features |
Abstract | ||
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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. Shah | 1 | 45 | 3.49 |
Yongwei Sheng | 2 | 29 | 2.87 |
Laurence C. Smith | 3 | 74 | 11.21 |