15.2.10.9 Destriping Images, Pushbroom, Scanner, Remote Sensing Imagry

Chapter Contents (Back)
Destriping. Radiometric Calibration. See also Pushbroom Camera Calibration Issues.

Horn, B.K.P.[Berthold K.P.], and Woodham, R.J.[Robert J.],
Destriping Satellite Images,
CGIP(10), No. 1, May 1979, pp. 69-83.
Elsevier DOI BibRef 7905
Earlier: MIT AI Memo-467, March 1978 BibRef

Corsini, G., Diani, M., Walzel, T.,
Striping Removal in MOS-B Data,
GeoRS(38), No. 3, May 2000, pp. 1439-1446.
IEEE Top Reference. 0006
BibRef

Schlapfer, D., Nieke, J., Itten, K.I.,
Spatial PSF Nonuniformity Effects in Airborne Pushbroom Imaging Spectrometry Data,
GeoRS(45), No. 2, February 2007, pp. 458-468.
IEEE DOI 0703
BibRef

di Bisceglie, M., Episcopo, R., Galdi, C., Ullo, S.L.,
Destriping MODIS Data Using Overlapping Field-of-View Method,
GeoRS(47), No. 2, February 2009, pp. 637-651.
IEEE DOI 0903
BibRef

Shen, H., Zhang, L.,
A MAP-Based Algorithm for Destriping and Inpainting of Remotely Sensed Images,
GeoRS(47), No. 5, May 2009, pp. 1492-1502.
IEEE DOI 0904
BibRef

Bouali, M., Ladjal, S.,
Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model,
GeoRS(49), No. 8, August 2011, pp. 2924-2935.
IEEE DOI 1108
BibRef

Pande-Chhetri, R.[Roshan], Abd-Elrahman, A.[Amr],
De-striping hyperspectral imagery using wavelet transform and adaptive frequency domain filtering,
PandRS(66), No. 5, September 2011, pp. 620-636.
Elsevier DOI 1110
De-striping; Wavelet decomposition analysis; Fourier transform; Hyperspectral; De-noising BibRef

Tsai, F., Chen, W.W.,
Striping Noise Detection and Correction of Remote Sensing Images,
GeoRS(46), No. 12, December 2008, pp. 4122-4131.
IEEE DOI 0812
BibRef

Lu, X.Q.[Xiao-Qiang], Wang, Y.L.[Yu-Long], Yuan, Y.[Yuan],
Graph-Regularized Low-Rank Representation for Destriping of Hyperspectral Images,
GeoRS(51), No. 7, 2013, pp. 4009-4018.
IEEE DOI 1307
Destriping; graph regularizer; hyperspectral image See also Substance Dependence Constrained Sparse NMF for Hyperspectral Unmixing. BibRef

Yuan, Y.[Yuan], Zheng, X., Lu, X.Q.[Xiao-Qiang],
Discovering Diverse Subset for Unsupervised Hyperspectral Band Selection,
IP(26), No. 1, January 2017, pp. 51-64.
IEEE DOI 1612
feature selection BibRef

Yuan, Y.[Yuan], Zheng, X., Lu, X.Q.[Xiao-Qiang],
Spectral-Spatial Kernel Regularized for Hyperspectral Image Denoising,
GeoRS(53), No. 7, July 2015, pp. 3815-3832.
IEEE DOI 1503
Computational modeling BibRef

Bouali, M., Ignatov, A.,
Estimation of Detector Biases in MODIS Thermal Emissive Bands,
GeoRS(51), No. 7, 2013, pp. 4339-4348.
IEEE DOI 1307
Ocean temperature; Moderate Resolution Imaging Spectroradiometer (MODIS); striping BibRef

Rogass, C.[Christian], Mielke, C.[Christian], Scheffler, D.[Daniel], Boesche, N.K.[Nina K.], Lausch, A.[Angela], Lubitz, C.[Christin], Brell, M.[Maximilian], Spengler, D.[Daniel], Eisele, A.[Andreas], Segl, K.[Karl], Guanter, L.[Luis],
Reduction of Uncorrelated Striping Noise: Applications for Hyperspectral Pushbroom Acquisitions,
RS(6), No. 11, 2014, pp. 11082-11106.
DOI Link 1412
BibRef

Schlapfer, D., Richter, R., Feingersh, T.,
Operational BRDF Effects Correction for Wide-Field-of-View Optical Scanners (BREFCOR),
GeoRS(53), No. 4, April 2015, pp. 1855-1864.
IEEE DOI 1502
Bidirectional Reflectance Distribution Function (BDRF). calibration BibRef

Chang, Y., Yan, L., Fang, H., Luo, C.,
Anisotropic Spectral-Spatial Total Variation Model for Multispectral Remote Sensing Image Destriping,
IP(24), No. 6, June 2015, pp. 1852-1866.
IEEE DOI 1504
Detectors BibRef

Kim, D.C.[Dae-Chul], Kyung, W.J.[Wang-Jun], Ha, H.G.[Ho-Gun], Ha, Y.H.[Yeong-Ho],
Moiré Reduction Using Inflection Point and Color Variation in Digital Camera of No Optical Low Pass Filter,
IEICE(E98-D), No. 12, December 2015, pp. 2290-2298.
WWW Link. 1601
Not stripes, but... Optical low pass filter generally used in digital camera, without it the Moiré pattern is an issue. BibRef

Liu, X., Lu, X., Shen, H.F.[Huan-Feng], Yuan, Q.Q.[Qiang-Qiang], Jiao, Y., Zhang, L.P.[Liang-Pei],
Stripe Noise Separation and Removal in Remote Sensing Images by Consideration of the Global Sparsity and Local Variational Properties,
GeoRS(54), No. 5, May 2016, pp. 3049-3060.
IEEE DOI 1604
geophysical image processing See also Multiframe Super-Resolution Employing a Spatially Weighted Total Variation Model. BibRef

Chang, Y., Yan, L., Wu, T., Zhong, S.,
Remote Sensing Image Stripe Noise Removal: From Image Decomposition Perspective,
GeoRS(54), No. 12, December 2016, pp. 7018-7031.
IEEE DOI 1612
geophysical image processing BibRef

Chang, Y., Yan, L., Zhong, S.,
Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising,
CVPR17(5901-5909)
IEEE DOI 1711
Analytical models, Computational modeling, Correlation, Noise reduction, Optimization, Tensile stress, Visualization BibRef

Chang, Y., Yan, L., Zhong, S.,
Transformed Low-Rank Model for Line Pattern Noise Removal,
ICCV17(1735-1743)
IEEE DOI 1802
geophysical image processing, image denoising, image resolution, random noise, remote sensing, Remote sensing BibRef

Cao, Y., Yang, M.Y., Tisse, C.L.,
Effective Strip Noise Removal for Low-Textured Infrared Images Based on 1-D Guided Filtering,
CirSysVideo(26), No. 12, December 2016, pp. 2176-2188.
IEEE DOI 1612
Histograms BibRef

Chen, Y.[Yong], Huang, T.Z.[Ting-Zhu], Zhao, X.L.[Xi-Le], Deng, L.J.[Liang-Jian], Huang, J.[Jie],
Stripe noise removal of remote sensing images by total variation regularization and group sparsity constraint,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Dou, H.X.[Hong-Xia], Huang, T.Z.[Ting-Zhu], Deng, L.J.[Liang-Jian], Zhao, X.L.[Xi-Le], Huang, J.[Jie],
Directional L_0 Sparse Modeling for Image Stripe Noise Removal,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Dou, H.X.[Hong-Xia], Huang, T.Z.[Ting-Zhu], Deng, L.J.[Liang-Jian], Chen, Y.[Yong],
Stripe noise removal of remote sensing image with a directional L_0 sparse model,
ICIP17(3505-3509)
IEEE DOI 1803
Closed-form solutions, Convergence, Mathematical model, Minimization, Remote sensing, Superluminescent diodes, Visualization BibRef

Gao, G., Gu, Y.,
Multitemporal Landsat Missing Data Recovery Based on Tempo-Spectral Angle Model,
GeoRS(55), No. 7, July 2017, pp. 3656-3668.
IEEE DOI 1706
Clouds, Earth, Extraterrestrial measurements, Remote sensing, Satellites, Sensors, Usability, Landsat, missing data, multitemporal images, similarity replacement, tempo-spectral, angle, mapping, (TSAM) BibRef

Malik, P.[Parveen], Karthik, K.[Kannan],
Iterative content adaptable purple fringe detection,
SIViP(12), No. 1, January 2018, pp. 181-188.
Springer DOI 1801
Not stripes, other defects. Defects in the sensor grid induce fringing artifacts near high-contrast regions. BibRef

Liu, X., Shen, H., Yuan, Q., Lu, X., Zhou, C.,
A Universal Destriping Framework Combining 1-D and 2-D Variational Optimization Methods,
GeoRS(56), No. 2, February 2018, pp. 808-822.
IEEE DOI 1802
image denoising, iterative methods, least squares approximations, optimisation, remote sensing, variational optimization BibRef

Yanovsky, I.[Igor], Dragomiretskiy, K.[Konstantin],
Variational Destriping in Remote Sensing Imagery: Total Variation with L1 Fidelity,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Teng, Y.[Yidan], Zhang, Y.[Ye], Ti, C.L.[Chun-Li], Zhang, J.P.[Jun-Ping],
Hyperspectral Image Resolution Enhancement Approach Based on Local Adaptive Sparse Unmixing and Subpixel Calibration,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Teng, Y.[Yidan], Zhang, Y.[Ye], Chen, Y.[Yushi], Ti, C.L.[Chun-Li],
A Novel Hyperspectral Images Destriping Method Based on Edge Reconstruction and Adaptive Morphological Operators,
ICIP14(2948-2952)
IEEE DOI 1502
Algorithm design and analysis BibRef

Song, Q.[Qiong], Wang, Y.H.[Yue-Huan], Yan, X.Y.[Xiao-Yun], Gu, H.[Haiguo],
Remote Sensing Images Stripe Noise Removal by Double Sparse Regulation and Region Separation,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef


Li, Y., Zhang, B., Florent, R.,
Fast de-streaking method using plain neural network,
ICIP17(1886-1889)
IEEE DOI 1803
Biological neural networks, Computer vision, Image reconstruction, Radon, Training, Transforms, Neural network, Streak reduction BibRef

Gao, H.T.[Hui-Ting], Liu, W.[Wei], He, H.Y.[Hong-Yan], Zhang, B.X.[Bing-Xian], Jiang, C.[Cheng],
De-striping For Tdiccd Remote Sensing Image Based On Statistical Features Of Histogram,
ISPRS16(B1: 311-316).
DOI Link 1610
BibRef

Yan, W.Y.[Wai Yeung], Shaker, A.[Ahmed],
Reduction Of Striping Noise In Overlapping Lidar Intensity Data By Radiometric Normalization,
ISPRS16(B1: 151-156).
DOI Link 1610
BibRef

Liu, H.[Hai], Zhang, Z.L.[Zhao-Li], Liu, S.[Sanya], Liu, T.T.[Ting-Ting], Chang, Y.[Yi],
Destriping algorithm with L0 sparsity prior for remote sensing images,
ICIP15(2295-2299)
IEEE DOI 1512
De-noise; Destriping; L0 norm; Regularization; Remote sensing image BibRef

Chang, Y.[Yi], Fang, H.Z.[Hou-Zhang], Yan, L.[Luxin], Liu, H.[Hai],
Joint blind deblurring and destriping for remote sensing images,
ICIP13(469-473)
IEEE DOI 1402
Hafnium BibRef

Shen, H.F.[Huan-Feng], Ai, T.H.[Ting-Hua], Li, P.X.[Ping-Xiang],
Destriping and Inpainting of Remote Sensing Images Using Maximum A-Posteriori Method,
ISPRS08(B1: 63 ff).
PDF File. 0807
BibRef

Choi, E.[Euncheol], Kang, M.G.[Moon Gi],
Striping Noise Removal of Satellite Images by Nonlinear Mapping,
ICIAR06(II: 722-729).
Springer DOI 0610
BibRef

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Vignetting Correction, Vignetting Analysis .


Last update:Nov 12, 2018 at 11:26:54