Wavelet enabled convolutional autoencoder based deep neural network for hyperspectral image denoising
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-021-11689-z.pdf
Reference55 articles.
1. Alsaiari A, Rustagi R, Alhakamy A (2019) Image denoising using a generative adversarial network. IEEE 2nd International Conference on Information and Computer Technologies. https://doi.org/10.1109/INFOCT.2019.8710893
2. Chen Y, Pock T (2016) Trainable nonlinear reaction diffusion: a flexible framework for fast and effective image restoration. IEEE Trans Pattern Anal Mach Intell. https://doi.org/10.1109/TPAMI.2016.2596743
3. Chen C, Xu Z (2018) Aerial-image denoising based on convolutional neural network with multi-scale residual learning approach. Information (Switzerland). https://doi.org/10.3390/info9070169
4. Cortes C, Vapni V (1995) Support-vector networks. Mach Learn. https://doi.org/10.1007/BF00994018
5. Dabov K, Foi A, Katkovnik V, Egiazarian K (2007) Image denoising by sparse 3-D transform-domain collaborative filtering. IEEE Trans Image Process. https://doi.org/10.1109/TIP.2007.901238
Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. The Role of Transformer-cGANs Fusion in Digital Marketing;Journal of Organizational and End User Computing;2024-08-12
2. Hyperspectral image denoising via self-modulated cross-attention deformable convolutional neural network;Journal of Electronic Imaging;2024-07-12
3. Anomaly Detection in Rotating Machinery Sound Based on Time and Spectral Information Fusion;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17
4. Concluding Remarks and Way Forward;Dimensionality Reduction of Hyperspectral Imagery;2023-10-05
5. Spectral Feature Extraction Using Pooling;Dimensionality Reduction of Hyperspectral Imagery;2023-10-05
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3