Name
Title | ||
|---|---|---|
A Novel Hybrid Method for Remote Sensing Image Approximation Using the Tetrolet Transform |
Abstract | ||
|---|---|---|
Most existing image sparse approximation methods can reach their best performance only under the condition that the image has some certain properties. In addition, for the remote sensing image, it is difficult to obtain a good sparse result if it contains a lot of details. Focused on the two problems, in this paper, a novel hybrid method that is of some generality is proposed. The method exploits ... |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/JSTARS.2014.2319304 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Approximation methods,Wavelet transforms,Remote sensing,Tensile stress,Approximation algorithms,Image edge detection | Top-hat transform,Computer vision,Image fusion,Feature detection (computer vision),Sparse approximation,Remote sensing,Artificial intelligence,Stationary wavelet transform,Wavelet packet decomposition,Mathematics,Wavelet transform,Wavelet | Journal |
Volume | Issue | ISSN |
7 | 12 | 1939-1404 |
Citations | PageRank | References |
1 | 0.35 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cuiping Shi | 1 | 8 | 2.48 |
| Junping Zhang | 2 | 124 | 33.91 |
| Hao Chen | 3 | 87 | 16.52 |
| Ye Zhang | 4 | 53 | 13.39 |