Title | ||
---|---|---|
Enhancement and Edge-Preserving Denoising: An OpenCL-Based Approach for Remote Sensing Imagery. |
Abstract | ||
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Image enhancement and edge-preserving denoising are relevant steps before classification or other postprocessing techniques for remote sensing images. However, multisensor array systems are able to simultaneously capture several low-resolution images from the same area on different wavelengths, forming a high spatial/spectral resolution image and raising a series of new challenges. In this paper, ... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/JSTARS.2016.2617292 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Image edge detection,Remote sensing,Noise reduction,Robustness,Image reconstruction,Graphics processing units,Imaging | Iterative reconstruction,Graphics,Noise reduction,Computer vision,Feature detection (computer vision),Image fusion,Computer science,Remote sensing,Image processing,Robustness (computer science),Artificial intelligence,Digital image processing | Journal |
Volume | Issue | ISSN |
9 | 12 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
J. Ortegon Aguilar | 1 | 4 | 1.43 |
Alejandro Castillo Atoche | 2 | 4 | 1.57 |
Roberto Carrasco-Alvarez | 3 | 28 | 5.80 |
Javier Vázquez Castillo | 4 | 2 | 2.07 |
Ivan E. Villalon-Turrubiates | 5 | 11 | 6.80 |
Omar Pérez-Martínez | 6 | 0 | 0.34 |