@inproceedings{b9a09b42762745dd9c02d7c4d8d288d7,
title = "Remote Sensing Images Inpainting based on Structured Low-Rank Matrix Approximation",
abstract = "Due to the sensor malfunction or poor observation conditions, optical remote sensing images often suffer from information loss such as dead pixels or cloud contamination. We propose a remote sensing image inpainting method based on structured low-rank matrix approximation. The hybrid regularizations are applied to recover the piecewise constant and the piecewise linear components of the image separately by exploiting the low-rank properties of the structured Toeplitz matrices of the two image components. The corresponding optimization problem can be solved using the half-circulant approximation of the Toeplitz matrix. Experimental results demonstrate the efficacy of the proposed method.",
keywords = "inpainting, remote sensing images, structured low-rank",
author = "Yue Hu and Zidi Wei and Kuangshi Zhao",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 ; Conference date: 26-09-2020 Through 02-10-2020",
year = "2020",
month = sep,
day = "26",
doi = "10.1109/IGARSS39084.2020.9324265",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1341--1344",
booktitle = "2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings",
address = "美国",
}