Name
Title | ||
|---|---|---|
Superresolution for UAV Images via Adaptive Multiple Sparse Representation and Its Application to 3-D Reconstruction. |
Abstract | ||
|---|---|---|
We propose a superresolution (SR) algorithm based on adaptive sparse representation via multiple dictionaries for images taken by unmanned aerial vehicles (UAVs). The SR attainable through the proposed algorithm can increase the precision of 3-D reconstruction from UAV images, enabling the production of high-resolution images for constructing high-frequency time series and for high-precision digit... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TGRS.2017.2687419 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Dictionaries,Image resolution,Training,Image edge detection,Unmanned aerial vehicles,Imaging,Monitoring | Ringing artifacts,Computer vision,Digital mapping,Neural coding,Sparse approximation,Artificial intelligence,Edge orientation,Superresolution,Image resolution,Mathematics,Computation | Journal |
Volume | Issue | ISSN |
55 | 7 | 0196-2892 |
Citations | PageRank | References |
2 | 0.39 | 15 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Haris | 1 | 3 | 0.75 |
| Takuya Watanabe | 2 | 63 | 13.29 |
| Liu Fan | 3 | 2 | 0.39 |
| Muhammad Rahmat Widyanto | 4 | 17 | 4.08 |
| Hajime Nobuhara | 5 | 192 | 34.02 |