Title | ||
---|---|---|
Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis |
Abstract | ||
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Hyperspectral imaging (HSI) classification has become a popular research topic in recent years, and effective feature extraction is an important step before the classification task. Traditionally, spectral feature extraction techniques are applied to the HSI data cube directly. This paper presents a novel algorithm for HSI feature extraction by exploiting the curvelet-transformed domain via a rela... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TGRS.2016.2598065 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Wavelet transforms,Noise reduction,Hyperspectral imaging,Spectral analysis,Principal component analysis | Computer vision,Pattern recognition,Support vector machine,Feature extraction,Hyperspectral imaging,Artificial intelligence,Singular spectrum analysis,Mathematics,Data cube,Wavelet,Wavelet transform,Curvelet | Journal |
Volume | Issue | ISSN |
55 | 1 | 0196-2892 |
Citations | PageRank | References |
4 | 0.39 | 0 |
Authors | ||
10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tong Qiao | 1 | 17 | 1.61 |
Jinchang Ren | 2 | 1144 | 88.54 |
Zheng Wang | 3 | 35 | 3.40 |
Jaime Zabalza | 4 | 151 | 11.51 |
Meijun Sun | 5 | 74 | 11.77 |
Huimin Zhao | 6 | 206 | 23.43 |
Shutao Li | 7 | 2594 | 139.10 |
Jon Atli Benediktsson | 8 | 4064 | 251.17 |
Qingyun Dai | 9 | 148 | 23.91 |
Stephen Marshall | 10 | 227 | 25.35 |