Statistical Destriping of Pushbroom-Type Images Based on an Affine Detector Response-Reference-Cited by-同舟云学术

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Statistical Destriping of Pushbroom-Type Images Based on an Affine Detector Response

Published:2022 Issue: Volume:60 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Amrouche Mehdi¹,Carfantan Herve¹^ORCID,Idier Jerome²^ORCID,Martin Vincent³

Affiliation:

1. Institut de Recherche en Astrophysique et Planétologie, CNRS/UPS/CNES, Université de Toulouse, Toulouse, France

2. Laboratoire des Sciences du Numérique de Nantes (LS2N), CNRS, Nantes, France

3. French National Space Agency (CNES), Toulouse, France

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09844761.pdf?arnumber=9844761

Reference31 articles.

1. Convex half-quadratic criteria and interacting auxiliary variables for image restoration

2. Image Quality Assessment: From Error Visibility to Structural Similarity

3. Hyperspectral Image Restoration Using Low-Rank Matrix Recovery

4. Remote Sensing Image Stripe Noise Removal: From Image Decomposition Perspective

5. Destriping Remote Sensing Image via Low-Rank Approximation and Nonlocal Total Variation

Cited by 3 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. Stripe noise removal for the thermal infrared spectrometer of the SDGSAT-1;International Journal of Applied Earth Observation and Geoinformation;2024-05

2. BTC-Net: Efficient Bit-Level Tensor Data Compression Network for Hyperspectral Image;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Single-Band Stripe Noise Removal in Multispectral Remote Sensing Images Based on Semisupervised Disentangled Transformation Network;IEEE Transactions on Geoscience and Remote Sensing;2024

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