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Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model

Marouan Bouali, Saïd Ladjal
2011 IEEE Transactions on Geoscience and Remote Sensing  
Basic statistical assumptions used in previous techniques are replaced by a much realistic geometrical consideration on the striping unidirectional variations.  ...  Index Terms-Destriping, histogram matching, Moderate Resolution Imaging Spectroradiometer (MODIS), total variation, variational approach.  ...  Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model Marouan Bouali and Saïd Ladjal Abstract-Images acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard  ... 
doi:10.1109/tgrs.2011.2119399 fatcat:rwn36szqxjeubmoygvonbs2vvq

Stripe Noise Separation and Removal in Remote Sensing Images by Consideration of the Global Sparsity and Local Variational Properties

Xinxin Liu, Xiliang Lu, Huanfeng Shen, Qiangqiang Yuan, Yuling Jiao, Liangpei Zhang
2016 IEEE Transactions on Geoscience and Remote Sensing  
Index Terms-Alternating direction method of multipliers (ADMM), destriping, optimization-based model, remote sensing image, sparsity.  ...  Unlike with conventional methods, we achieve the destriping by separating the stripe component based on a full analysis of the various stripe properties.  ...  destriping (SLD) [9] ; 3) the unidirectional total variational model (UTV) [17] ; and 4) the spatially adaptive unidirectional total variation model (SAUTV) [19] .  ... 
doi:10.1109/tgrs.2015.2510418 fatcat:e42reswzujdldbgahulk4uj4hm

Stripe noise removal of remote image based on wavelet variational method

WANG Chang, ZHANG Yongsheng, WANG Xu, JI Song
2019 Acta Geodaetica et Cartographica Sinica  
the stripe noise, and the details are effectively separated; a destriping variation model was constructed, this model could effectively preserve the image details while removing the strip noise form the  ...  In order to avoid the loss of image details in the process of strip noise removal, a method based on wavelet variational method was proposed to remove strip noise of remote images.  ...  Toward optimal destriping of MODIS data using a unidirectional variational model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(8): 2924–2935.  ... 
doi:10.11947/j.agcs.2019.20180394 doaj:f6fefe09a2b949e183290b4c2923a4c1 fatcat:7bw5m4l2kven5ir3a55vfljmsm

Image Restoration for Remote Sensing: Overview and Toolbox [article]

Benhood Rasti, Yi Chang, Emanuele Dalsasso, Loïc Denis, Pedram Ghamisi
2021 arXiv   pre-print
The quality of data acquired by remotely sensed imaging sensors (both active and passive) is often degraded by a variety of noise types and artifacts.  ...  of data restoration by supplying sufficient detail and references.  ...  [113] extended the unidirectional variational model [128] to the anisotropic spectral-spatial TV (ASSTV) model for multispectral image destriping.  ... 
arXiv:2107.00557v2 fatcat:adn5fpdza5h4tbsycg7yw6rqzu

Correcting and Registering Images [chapter]

John A. Richards
2012 Remote Sensing Digital Image Analysis  
Ladjal, Towards optimal destriping of MODIS data using a unidirectional variance model, IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no. 8, August 2011 , pp. 2924 -2935 See N.  ...  One is to model the nature and magnitude of the sources of distortion and use the model to establish correction formulas.  ... 
doi:10.1007/978-3-642-30062-2_2 fatcat:xaeintbunjbwvkn7w3zve5xrgy