Title | ||
---|---|---|
Wavelet-Compressed Representation of Landscapes for Hydrologic and Geomorphologic Applications. |
Abstract | ||
---|---|---|
The availability of high-resolution digital elevation data (submeter resolution) from LiDAR has increased dramatically over the past few years. As a result, the efficient storage and transmission of those large data sets and their use for geomorphic feature extraction and hydrologic/environmental modeling are becoming a scientific challenge. This letter explores the use of multiresolution wavelet ... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/LGRS.2015.2513011 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Wavelet transforms,Image coding,Approximation algorithms,Laser radar,Image reconstruction,Rivers | Computer vision,Data compression ratio,Lossy compression,Remote sensing,Communication channel,Feature extraction,Artificial intelligence,Pixel,Data compression,Mathematics,Wavelet transform,Wavelet | Journal |
Volume | Issue | ISSN |
13 | 4 | 1545-598X |
Citations | PageRank | References |
2 | 0.39 | 2 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chandana Gangodagamage | 1 | 2 | 0.72 |
efi foufoulageorgiou | 2 | 7 | 1.59 |
Steven P. Brumby | 3 | 67 | 11.96 |
Rick Chartrand | 4 | 614 | 34.67 |
Alexander Koltunov | 5 | 7 | 1.40 |
Desheng Liu | 6 | 24 | 4.82 |
Michael Cai | 7 | 2 | 0.39 |
Susan L. Ustin | 8 | 142 | 81.15 |