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A variational approach for the destriping of modis data

Marouan Bouali, Said Ladjal
2010 2010 IEEE International Geoscience and Remote Sensing Symposium  
The variational approach introduced in this paper and the results obtained on MODIS data offer a new perspective for the destriping of imaging spectrometer data.  ...  In this paper, we introduce a robust destriping methodology based on a variational approach. PROBLEM MODELISATION Let us denote by I the signal associated with the destriped image.  ... 
doi:10.1109/igarss.2010.5652722 dblp:conf/igarss/BoualiL10 fatcat:hl4dlx4aljfhpisi6zabxxbg2e

Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model

Marouan Bouali, Saïd Ladjal
2011 IEEE Transactions on Geoscience and Remote Sensing  
Index Terms-Destriping, histogram matching, Moderate Resolution Imaging Spectroradiometer (MODIS), total variation, variational approach.  ...  Despite the variety of destriping algorithms proposed in the literature, complete removal of stripes without signal distortion is yet to be overcome.  ...  ACKNOWLEDGMENT The authors would like to thank the four anonymous reviewers for their valuable comments.  ... 
doi:10.1109/tgrs.2011.2119399 fatcat:rwn36szqxjeubmoygvonbs2vvq

A NOVEL REMOVAL METHOD FOR DENSE STRIPES IN REMOTE SENSING IMAGES

Xinxin Liu, Huanfeng Shen, Qiangqiang Yuan, Liangpei Zhang, Qing Cheng
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
To well process the dense striped data and ensure a reliable solution, we construct a statistical property based constraint in our proposed model and use it to control the whole destriping process.  ...  Experimental results on real data with different kinds of dense stripe noise demonstrate the effectiveness of the proposed method in terms of both qualitative and quantitative perspectives.  ...  Inspired from the analysis above, a new destriping method for remote sensing data has been proposed in this work.  ... 
doi:10.5194/isprs-annals-iii-6-57-2016 fatcat:n5rocg2o7ratlmoajttabhftem

A NOVEL REMOVAL METHOD FOR DENSE STRIPES IN REMOTE SENSING IMAGES

Xinxin Liu, Huanfeng Shen, Qiangqiang Yuan, Liangpei Zhang, Qing Cheng
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
To well process the dense striped data and ensure a reliable solution, we construct a statistical property based constraint in our proposed model and use it to control the whole destriping process.  ...  Experimental results on real data with different kinds of dense stripe noise demonstrate the effectiveness of the proposed method in terms of both qualitative and quantitative perspectives.  ...  Inspired from the analysis above, a new destriping method for remote sensing data has been proposed in this work.  ... 
doi:10.5194/isprsannals-iii-6-57-2016 fatcat:bw4khuthefb5nkyz4xcf4x3ydy

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  
Unlike with conventional methods, we achieve the destriping by separating the stripe component based on a full analysis of the various stripe properties.  ...  Remote sensing images are often contaminated by varying degrees of stripes, which severely affects the visual quality and subsequent application of the data.  ...  ACKNOWLEDGMENT The authors would like to thank the four anonymous reviewers for their valuable comments.  ... 
doi:10.1109/tgrs.2015.2510418 fatcat:e42reswzujdldbgahulk4uj4hm

Mitigation of striping in ACSPO clear-sky radiances and SST products

Marouan Bouali
2013 Zenodo  
Presentation given at the 14th GHRSST science meeting (XIV), Woods Hole, MA, USA, June 17 - 21, 2013.  ...  Objective Design a destriping algorithm to improve the quality of SST imagery from Terra/Aqua MODIS and S-NPP VIIRS The algorithm should satisfy the following requirements:  Fully automatic  Near real-time  ...  L1B data with minimal distortion/denoising algorithm that uses:  Directional Hierarchical Decomposition (DHD) with a unidirectional quadratic variational model  Nonlocal filtering "Adaptive Reduction  ... 
doi:10.5281/zenodo.5645498 fatcat:sqphngk5hjdwrl73dqzhri2rty

Stripe Noise Reduction in MODIS Data by Combining Histogram Matching With Facet Filter

Preesan Rakwatin, Wataru Takeuchi, Yoshifumi Yasuoka
2007 IEEE Transactions on Geoscience and Remote Sensing  
In this paper, a noise-reduction algorithm is developed to reduce the stripe noise effects in both Terra MODIS and Aqua MODIS data by combining a histogrammatching algorithm with an iterated weighted least-squares  ...  Results of Terra MODIS and Aqua MODIS data show that the proposed algorithm reduced stripes noises without degrading image quality.  ...  ACKNOWLEDGMENT The authors would like to thank the Ministry of Education, Culture, Sports, Science and Technology, Japan Government for the Ph.D. scholarship.  ... 
doi:10.1109/tgrs.2007.895841 fatcat:mq6cvqt7qvb3natubstfrytera

Oblique Stripe Removal in Remote Sensing Images via Oriented Variation [article]

Xinxin Liu, Xiliang Lu, Huanfeng Shen, Qiangqiang Yuan, Liangpei Zhang
2018 arXiv   pre-print
Mainly based on the oriented variation model, a whole destriping framework is proposed by jointly employing an L1-norm constraint and a TV regularization to separately capture the global distribution property  ...  To overcome the challenging problem, we propose a novel destriping model which is self-adjusted to different orientations of stripe noise.  ...  The final image sizes for these two groups were 200 200  for the Terra MODIS data (group A) and 400 400  for the Aqua MODIS data (group B).  ... 
arXiv:1809.02043v1 fatcat:gquhudoj45bmbcwkoyll5ylcqy

A MAP-Based Algorithm for Destriping and Inpainting of Remotely Sensed Images

Huanfeng Shen, Liangpei Zhang
2009 IEEE Transactions on Geoscience and Remote Sensing  
The techniques to recover a good image from the contaminated one are called image destriping (for stripes) and image inpainting (for dead pixels).  ...  The main advantage of this algorithm is that it can constrain the solution space according to a priori knowledge during the destriping and inpainting processes.  ...  Obviously, this approach assumes similarity of the data.  ... 
doi:10.1109/tgrs.2008.2005780 fatcat:exisr2rqs5gtxegqi54lns64he

Remote Sensing Images Stripe Noise Removal by Double Sparse Regulation and Region Separation

Qiong Song, Yuehuan Wang, Xiaoyun Yan, Haiguo Gu
2018 Remote Sensing  
Compared with the state-of-the-art approaches, the experimental results on both the synthetic and real remote sensing data demonstrate that the proposed model has a better destriping performance in terms  ...  of the preservation of small details, stripe noise estimation and in the mean time for artifacts' reduction.  ...  Figure 5 . 5 Flow chart of the proposed method. Figure 6 . 6 Simulated stripe. (a) Terra MODIS data S1. (b) Terra MODIS data S2.  ... 
doi:10.3390/rs10070998 fatcat:tz3lkv5wjvgshntwoj63t2e5ym

A Unidirectional Total Variation and Second-Order Total Variation Model for Destriping of Remote Sensing Images

Min Wang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Gang Liu
2017 Mathematical Problems in Engineering  
Remote sensing images often suffer from stripe noise, which greatly degrades the image quality. Destriping of remote sensing images is to recover a good image from the image containing stripe noise.  ...  Therefore, in this paper, we propose a variational destriping model that combines unidirectional total variation and second-order total variation regularization to employ the directional information and  ...  Conflicts of Interest The authors declare that there are no conflicts of interest regarding the publication of this paper.  ... 
doi:10.1155/2017/4397189 fatcat:pw7fxuixnrabdpqeddwkmwvfzm

Quantitative image restoration

Irina Gladkova, Michael Grossberg, Fazlul Shahriar, Sylvia S. Shen, Paul E. Lewis
2010 Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI  
We present a general method, which uses non-linear statistical regression to estimate the values of the missing data in a principled manner.  ...  A statistically based estimate is desirable because it will preserve the statistical structure of the uncorrupted data and avoid the artifacts of naive interpolation.  ...  Figure 8 shows two curves obtained by averaging the restoration results when the data is first destriped, and when it is used without destriping. There is a clear advantage to using destriping.  ... 
doi:10.1117/12.851731 fatcat:ey2mtmuxbrc2jnhimfu6s7bedi

A new lossless compression algorithm for satellite earth science multi-spectral imagers

Irina Gladkova, Srikanth Gottipati, Michael Grossberg, Roger W. Heymann, Bormin Huang, Irina Gladkova
2007 Satellite Data Compression, Communications, and Archiving III  
Multispectral imaging data consists of visible and IR measurements from a scene across space and spectrum.  ...  The compression algorithm also structures the data in a way that makes it easy to incorporate robust error correction using FEC coding methods as TPC and LDPC for satellite use.  ...  A more detailed overview of the MODIS data attributes for various band types are shown in Table 1 .  ... 
doi:10.1117/12.736584 fatcat:qoblgg6iwvgebhkrvhxwunsvgi

Removal of Curtaining Effects by a Variational Model with Directional Forward Differences [article]

Jan Henrik Fitschen, Jianwei Ma, Sebastian Schuff
2016 arXiv   pre-print
Besides FIB tomography, we have also successfully applied our technique for the removal of pure stripes in Moderate Resolution Imaging Spectroradiometer (MODIS) data.  ...  This generalizes discrete unidirectional total variational (TV) approaches. A minimizer of the model is computed by well-known primal dual techniques.  ...  Further, a comparison to existing methods for destriping and denoising of MODIS data is given. Finally, conclusions are drawn in Section 5.  ... 
arXiv:1507.00112v3 fatcat:y274l5tu7jekvc3nofz5uit3sm

A Destriping Method Combining Strong Filter with Weak Filter Based on Image Divided and Adapative Strip Noise Detection

Liu Qihua, Feng Jing
2012 Physics Procedia  
Based on the analysis of existing methods, a new destriping method combining strong filter with weak filter was proposed.  ...  The result of comparing the tested images and data indicated that the new method could effectively remove stripe noises and preserve the quality of the images better, especially when the image is small  ...  Experiment and analysis Take an MODIS image as fig.1(a) shows for example to evaluate the effect of this new destriping method.  ... 
doi:10.1016/j.phpro.2012.03.356 fatcat:jz3ovp2i5jc6lo7kzudtlrlvee
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