Name
Title | ||
|---|---|---|
A Bandwise Noise Model Combined With Low-Rank Matrix Factorization for Hyperspectral Image Denoising. |
Abstract | ||
|---|---|---|
Hyperspectral image (HSI) is usually polluted by dense additive white Gaussian noise (AWGN). The noise intensity of AWGN is different for different bands of the HSI, and it has been utilized by many denoising algorithms. However, many of them did not convey this phenomenon in the objective function. In this paper, a bandwise noise model is proposed to overcome the problem. Furthermore, based on th... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSTARS.2018.2805290 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Noise reduction,AWGN,Estimation,TV,Linear programming,Hyperspectral imaging,Image denoising | Noise reduction,Computer vision,Pattern recognition,Matrix decomposition,Hyperspectral imaging,Preprocessor,Low-rank approximation,Artificial intelligence,Linear programming,Factorization,Additive white Gaussian noise,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 4 | 1939-1404 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Du | 1 | 1662 | 130.01 |
| Zhiqiang Huang | 2 | 8 | 3.95 |
| Nan Wang | 3 | 93 | 27.47 |