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