Remote sensing images destriping with an enhanced low-rank prior and total variation regulation-Reference-Cited by-同舟云学术

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Remote sensing images destriping with an enhanced low-rank prior and total variation regulation

Published:2022-03-03 Issue:7 Volume:16 Page:1895-1903
ISSN:1863-1703
Container-title:Signal, Image and Video Processing
language:en
Short-container-title:SIViP

Author:

Song Qiong,Huang Zhenghua,Ni Hongyin,Bai Kun,Li Zhengtao

Funder

Northeast Electric Power Unversity Doctoral Scientific Research Foundation

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s11760-022-02149-8.pdf

Reference28 articles.

1. Gadallah, F.L., Csillag, F., Smith, E.J.M.: Destriping multisensor imagery with moment matching. Int. J. Remote Sens. 21(12), 2505–2511 (2000)

2. Wegener, M.: Destriping multiple sensor imagery by improved histogram matching. Int. J. Remote Sens. 11(5), 859–875 (1990)

3. Tendero, Y., Landeau, S., Gilles, J.: Non-uniformity correction of infrared images by midway equalization. Image Process. On Line 2, 134–146 (2012)

4. Liu, N., Li, W., Tao, R., Fowler, J.E.: Wavelet-domain low-rank/group-sparse destriping for hyperspectral imagery. IEEE Trans. Geosci. Remote Sens. 57(12), 10310–10321 (2019)

5. Jia, J., Zheng, X., Guo, S., Wang, Y., Chen, J.: Removing stripe noise based on improved statistics for hyperspectral images. IEEE Geosci. Remote Sens. Lett. 1–5 (2020)

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2. A Novel Multi-Image Stripe Noise Removal Method Based on Wavelet and Recurrent Networks;IEEE Sensors Journal;2024-08-15

3. Nonconvex fractional order total variation based image denoising model under mixed stripe and Gaussian noise;AIMS Mathematics;2024

4. An Overview of Image Denoising and an Optimization Model Are Presented;Journal of Image and Signal Processing;2024

5. Automatic segment-wise restoration for wide irregular stripe noise in SDGSAT-1 multispectral data using side-slither data;The Egyptian Journal of Remote Sensing and Space Sciences;2023-12

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