Riesz-Quincunx-UNet Variational Autoencoder for Unsupervised Satellite Image Denoising-Reference-Cited by-同舟云学术

Riesz-Quincunx-UNet Variational Autoencoder for Unsupervised Satellite Image Denoising

Published:2023 Issue: Volume:61 Page:1-19
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Thai Duy H.¹^ORCID,Fei Xiqi¹^ORCID,Le Minh Tri¹,Züfle Andreas²^ORCID,Wessels Konrad¹

Affiliation:

1. Department of Geography and Geoinformation Science, George Mason University, Fairfax, VA, USA

2. Department of Computer Science, Emory University, Atlanta, GA, USA

Funder

Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), Space-Based Machine Automated Recognition Technique (SMART) Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

https://ieeexplore.ieee.org/ielam/36/10006360/10176136-aam.pdf

Reference77 articles.

1. The contourlet transform: an efficient directional multiresolution image representation

2. Wavelet Steerability and the Higher-Order Riesz Transform

3. Satellite Image Compression and Denoising With Neural Networks

4. Multiresolution Monogenic Signal Analysis Using the Riesz–Laplace Wavelet Transform

5. An orthogonal family of quincunx wavelets with continuously adjustable order

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