Missing Information Reconstruction of Remote Sensing Data: A Technical Review

IEEE Geoscience and Remote Sensing Magazine

Volumn 3, Issue 3, 2015, Pages 61-85

  Shen, Huanfeng ^a   Li, Xinghua ^a   Cheng, Qing ^b   Zeng, Chao ^b,c   Yang, Gang ^a   Li, Huifang ^a   Zhang, Liangpei ^b  

^a The Collaborative Innovation Center for Geospatial Technology   (China)

^b WUHAN UNIVERSITY   (China)

^c Tsinghua University   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC CONDITIONS; CURRENT SITUATION; FOLLOW UP; INFORMATION RECONSTRUCTION; MISSING INFORMATION; OPTICAL REMOTE SENSING DATA; REMOTE SENSING DATA; RESEARCH FIELDS; TECHNICAL REVIEWS; USAGE RATE;

REMOTE SENSING;

ALGORITHM; ATMOSPHERIC CORRECTION; DATA INTERPRETATION; INFORMATION MANAGEMENT; OPTICAL DEPTH; RECONSTRUCTION; REMOTE SENSING; RESEARCH WORK; SENSOR;

EID: 84943547237     PISSN: 24732397     EISSN: 21686831     Source Type: Journal    
DOI: 10.1109/MGRS.2015.2441912     Document Type: Article

References (100)

1. L. Wang, J. J. Qu, X. Xiong, X. Hao, Y. Xie, and N. Che, "A new method for retrieving band 6 of Aqua MODIS, " IEEE Geosci. Remote Sensing Lett., vol. 3, no. 2, pp. 267-270, Apr. 2006.
2. C. Zeng, H. Shen, and L. Zhang, "Recovering missing pixels for Landsat ETM+ SLC-off imagery using multi-temporal regression analysis and a regularization method, " Remote Sens. Environ., vol. 131, pp. 182-194, Apr. 2013.
3. C.-H. Lin, K.-H. Lai, Z.-B. Chen, and J.-Y. Chen, "Patch-based information reconstruction of cloud-contaminated multitemporal images, " IEEE Trans. Geosci. Remote Sensing, vol. 52, no. 1, pp. 163-174, Jan. 2014.
4. F. Melgani, "Contextual reconstruction of cloud-contaminated multitemporal multispectral images, " IEEE Trans. Geosci. Remote Sensing, vol. 44, no. 2, pp. 442-455, Feb. 2006.
5. D. Tuia, F. Ratle, F. Pacifici, M. F. Kanevski, and W. J. Emery, "Active learning methods for remote sensing image classification, " IEEE Trans. Geosci. Remote Sensing, vol. 47, no. 7, pp. 2218-2232, July 2009.
6. C. Guillemot and O. L. Meur, "Image inpainting: Overview and recent advances, " IEEE Signal Processing Mag., vol. 31, no. 1, pp. 127-144, Jan. 2014.
7. M. Bertalmio, G. Sapiro, V. Caselles, and C. Ballester, "Image inpainting, " in Proc. 27th Annu. Conf. Computer Graphics Interactive Techniques (SIGGRAPH), 2000, pp. 417-424.
8. C. Ballester, M. Bertalmio, V. Caselles, G. Sapiro, and J. Verdera, "Filling-in by joint interpolation of vector fields and gray levels, " IEEE Trans. Image Processing, vol. 10, no. 8, pp. 1200-1211, Aug. 2001.
9. T. F. Chan and J. Shen, "Nontexture inpainting by curvature-driven diffusions, " J. Vis. Commun. Image Represent., vol. 12, no. 4, pp. 436-449, Dec. 2001.
10. A. Bugeau, M. Bertalmio, V. Caselles, and G. Sapiro, "A comprehensive framework for image inpainting, " IEEE Trans. Image Processing, vol. 19, no. 10, pp. 2634-2645, Oct. 2010.
11. T. Chan and J. Shen, "Local inpainting models and TV inpainting, " SIAM J. Appl. Math., vol. 62, no. 3, pp. 1019-1043, 2001.
12. C. Zhang, W. Li, and D. Travis, "Gaps-fill of SLC-off Landsat ETM+ satellite image using a geostatistical approach, " Int. J. Remote Sensing, vol. 28, no. 22, pp. 5103-5122, 2007.
13. C. Yu, L. Chen, L. Su, M. Fan, and S. Li, "Kriging interpolation method and its application in retrieval of MODIS aerosol optical depth, " in Proc. 19th Int. Conf. Geoinformatics, Shanghai, China, 2011, pp. 1-6.
14. A. Maalouf, P. Carre, B. Augereau, and C. Fernandez-Maloigne, "A bandelet-based inpainting technique for clouds removal from remotely sensed images, " IEEE Trans. Geosci. Remote Sensing, vol. 47, no. 7, pp. 2363-2371, July 2009.
15. H. Shen and L. Zhang, "A MAP-based algorithm for destriping and inpainting of remotely sensed images, " IEEE Trans. Geosci. Remote Sensing, vol. 47, no. 5, pp. 1492-1502, May 2009.
16. H. Shen, Y. Liu, T. Ai, Y. Wang, and B. Wu, "Universal reconstruction method for radiometric quality improvement of remote sensing images, " Int. J. Appl. Earth Observ. Geoinform., vol. 12, no. 4, pp. 278-286, Aug. 2010.
17. Q. Cheng, H. Shen, L. Zhang, and P. Li, "Inpainting for remotely sensed images with a multichannel nonlocal total variation model, " IEEE Trans. Geosci. Remote Sensing, vol. 52, no. 1, pp. 175-187, Jan. 2014.
18. H. Shen, X. Li, L. Zhang, D. Tao, and C. Zeng, "Compressed sensing-based inpainting of aqua moderate resolution imaging spectroradiometer band 6 using adaptive spectrum-weighted sparse Bayesian dictionary learning, " IEEE Trans. Geosci. Remote Sensing, vol. 52, no. 2, pp. 894-906, Feb. 2014.
19. A. Criminisi, P. Perez, and K. Toyama, "Region filling and object removal by exemplar-based image inpainting, " IEEE Trans. Image Processing, vol. 13, no. 9, pp. 1200-1212, Sept. 2004.
20. A. A. Efros and T. K. Leung, "Texture synthesis by non-parametric sampling, " in Proc. 7th IEEE Int. Conf. Computer Vision, Kerkyra, Greece, 1999, pp. 1033-1038.
21. N. Komodakis, "Image completion using global optimization, " in Proc. 19th IEEE Computer Society Conf. Computer Vision Pattern Recognition, New York, 2006, pp. 442-452.
22. R. Webster and M. A. Oliver, Geostatistics for Environmental Scientists, Chichester, U. K. : Wiley, 2001, p. 271.
23. F. van der Meer, "Remote-sensing image analysis and geostatistics, " Int. J. Remote Sensing, vol. 33, no. 18, pp. 5644-5676, 2012.
24. C. Barcelos and M. A. Batista, "Image inpainting and denoising by nonlinear partial differential equations, " in Proc. 16th Brazilian Symp. Computer Graphics Image Processing, Sao Carlos, Brazil, 2003, pp. 287-293.
25. M. M. Oliveira, B. Bowen, R. McKenna, and Y.-S. Chang, "Fast digital image inpainting, " in Proc. Int. Conf. Visualization, Imaging Image Processing, Marbella, Spain, 2001, pp. 261-266.
26. R. Mendez-Rial, M. Calvino-Cancela, and J. Martin-Herrero, "Anisotropic inpainting of the hypercube, " IEEE Geosci. Remote Sensing Lett., vol. 9, no. 2, pp. 214-218, Mar. 2012.
27. R. C. Hardie, K. J. Barnard, and E. E. Armstrong, "Joint MAP registration and high-resolution image estimation using a sequence of undersampled images, " IEEE Trans. Image Processing, vol. 6, no. 12, pp. 1621-1633, Dec. 1997.
28. A. N. Tikhonov and V. Y. Arsenin, Solutions of Ill-Posed Problems. New York: Wiley, 1977.
29. M.-F. Marcos, J.-E. RaulSan, C.-F. Westin, and A.-L. Carlos, "A novel Gauss-Markov random field approach for regularization of diffusion tensor maps, " in Computer Aided Systems Theory-EUROCAST, Berlin Heidelberg, Germany: Springer, 2003, pp. 506-517.
30. T. Chan, A. Marquina, and P. Mulet, "High-order total variationbased image restoration, " SIAM J. Scientific Comput., vol. 22, no. 2, pp. 503-516, 2000.
31. Q. Yuan, L. Zhang, and H. Shen, "Hyperspectral image denoising employing a spectral-spatial adaptive total variation model, " IEEE Trans. Geosci. Remote Sensing, vol. 50, no. 10, pp. 3660-3677, Oct. 2012.
32. A. Buades, B. Coll, and J. M. Morel, "A non-local algorithm for image denoising, " in Proc. 27th IEEE Computer Society Conf. Computer Vision Pattern Recognition, San Diego, CA, 2005, pp. 60-65.
33. K. He and J. Sun, "Statistics of patch offsets for image completion, " in Proc. 12th European Conf. Computer Vision, Florence, Italy, 2012, pp. 16-29.
34. Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity, " IEEE Trans. Image Processing, vol. 13, no. 4, pp. 600-612, Apr. 2004.
35. P. Rakwatin, W. Takeuchi, and Y. Yasuoka, "Restoration of Aqua MODIS band 6 using histogram matching and local least squares fitting, " IEEE Trans. Geosci. Remote Sensing, vol. 47, no. 2, pp. 613-627, Feb. 2009.
36. H. Shen, C. Zeng, and L. Zhang, "Recovering reflectance of AQUA MODIS band 6 based on within-class local fitting, " IEEE J. Select. Topics Appl. Earth Observ. Remote Sensing, vol. 4, no. 1, pp. 185-192, Mar. 2011.
37. I. Gladkova, M. D. Grossberg, F. Shahriar, G. Bonev, and P. Romanov, "Quantitative restoration for MODIS band 6 on Aqua, " IEEE Trans. Geosci. Remote Sensing, vol. 50, no. 6, pp. 2409-2416, June 2012.
38. X. Li, H. Shen, L. Zhang, H. Zhang, and Q. Yuan, "Dead pixel completion of aqua MODIS band 6 using a robust M-estimator multiregression, " IEEE Geosci. Remote Sensing Lett., vol. 11, no. 4, pp. 768-772, Apr. 2014.
39. J. Zhang, M. K. Clayton, and P. A. Townsend, "Functional concurrent linear regression model for spatial images, " J. Agr. Biol. Environ. Stat., vol. 16, no. 1, pp. 105-130, Mar. 2011.
40. J. Zhang, M. K. Clayton, and P. A. Townsend, "Missing data and regression models for spatial images, " IEEE Trans. Geosci. Remote Sensing, vol. 53, no. 3, pp. 1574-1582, Mar. 2015.
41. C. Zeng, H. Shen, M. Zhong, L. Zhang, and P. Wu, "Reconstructing MODIS LST based on multitemporal classification and robust regression, " IEEE Geosci. Remote Sensing Lett., vol. 12, no. 3, pp. 512-516, Mar. 2015.
42. X. Zhang, F. Qin, and Y. Qin, "Study on the thick cloud removal method based on multi-temporal remote sensing images, " in Proc. 1st Int. Conf. Multimedia Technology, Malaga, Spain, 2010, pp. 1-3.
43. S. Benabdelkader and F. Melgani, "Contextual spatiospectral postreconstruction of cloud-contaminated images, " IEEE Geosci. Remote Sensing Lett., vol. 5, no. 2, pp. 204-208, Apr. 2008.
44. C.-H. Lin, P.-H. Tsai, K.-H. Lai, and J.-Y. Chen, "Cloud removal from multitemporal satellite images using information cloning, " IEEE Trans. Geosci. Remote Sensing, vol. 51, no. 1, pp. 232-241, Jan. 2013.
45. Q. Cheng, H. Shen, L. Zhang, Q. Yuan, and C. Zeng, "Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model, " ISPRS J. Photogramm. Remote Sens., vol. 92, pp. 54-68, June 2014.
46. B. N. Holben, "Characteristics of maximum-value composite images from temporal AVHRR data, " Int. J. Remote Sensing, vol. 7, no. 11, pp. 1417-1434, 1986.
47. J. Inglada and S. Garrigues, "Land-cover maps from partially cloudy multi-temporal image series: Optimal temporal sampling and cloud removal, " in Proc. 30th IEEE Int. Geoscience Remote Sensing Symp., Honolulu, HI, 2010, pp. 3070-3073.
48. J. Chen, P. Jönsson, M. Tamura, Z. Gu, B. Matsushita, and L. Eklundh, "A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter, " Remote Sensing Environ., vol. 91, no. 3, pp. 332-344, June 2004.
49. P. Jönsson and L. Eklundh, "TIMESAT-A program for analyzing time-series of satellite sensor data, " Comput. Geosci., vol. 30, no. 8, pp. 833-845, Oct. 2004.
50. G. J. Roerink, M. Menenti, and W. Verhoef, "Reconstructing cloudfree NDVI composites using Fourier analysis of time series, " Int. J. Remote Sensing, vol. 21, no. 9, pp. 1911-1917, 2000.
51. Y. Julien and J. A. Sobrino, "Comparison of cloud-reconstruction methods for time series of composite NDVI data, " Remote Sensing of Environ., vol. 114, no. 3, pp. 618-625, Mar. 2010.
52. N. Viovy, O. Arino, and A. S. Belward, "The best index slope extraction (BISE): A method for reducing noise in NDVI timeseries, " Int. J. Remote Sensing, vol. 13, no. 8, pp. 1585-1590, 1992.
53. M. Ma and F. Veroustraete, "Reconstructing pathfinder AVHRR land NDVI time-series data for the Northwest of China, " Adv. Space Res., vol. 37, no. 4, pp. 835-840, 2006.
54. W. Zhu, Y. Pan, H. He, L. Wang, M. Mou, and J. Liu, "A changingweight filter method for reconstructing a high-quality NDVI time series to preserve the integrity of vegetation phenology, " IEEE Trans. Geosci. Remote Sensing, vol. 50, no. 4, pp. 1085-1094, Apr. 2012.
55. X. Lu, R. Liu, J. Liu, and S. Liang, "Removal of noise by wavelet method to generate high quality temporal data of terrestrial MODIS products, " Photogramm. Eng. Remote Sens., vol. 73, no. 10, pp. 1129-1139, Oct. 2007.
56. P. Jönsson and L. Eklundh, "Seasonality extraction by function fitting to time-series of satellite sensor data, " IEEE Trans. Geosci. Remote Sensing, vol. 40, no. 8, pp. 1824-1832, Aug. 2002.
57. P. S. Beck, C. Atzberger, K. A. Høgda, B. Johansen, and A. K. Skidmore, "Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI, " Remote Sensing Environ., vol. 100, no. 3, pp. 321-334, Feb. 2006.
58. L. Lorenzi, F. Melgani, and G. Mercier, "Missing-area reconstruction in multispectral images under a compressive sensing perspective, " IEEE Trans. Geosci. Remote Sensing, vol. 51, no. 7, pp. 3998-4008, July 2013.
59. X. Li, H. Shen, L. Zhang, H. Zhang, Q. Yuan, and G. Yang, "Recovering quantitative remote sensing products contaminated by thick clouds and shadows using multitemporal dictionary learning, " IEEE Trans. Geosci. Remote Sensing, vol. 52, no. 11, pp. 7086-7098, Nov. 2014.
60. M. Li, S. C. Liew, and L. K. Kwoh, "Producing cloud free and cloud-shadow free mosaic from cloudy IKONOS images, " in Proc. 23th IEEE Int. Geoscience Remote Sensing Symp., Toulouse, France, 2003, pp. 3946-3948.
61. E. Helmer and B. Ruefenacht, "Cloud-free satellite image mosaics with regression trees and histogram matching, " Photogramm. Eng. Remote Sens., vol. 71, no. 9, pp. 1079-1089, Sept. 2005.
62. J. Storey, P. Scaramuzza, G. Schmidt, and J. Barsi, "Landsat 7 scan line corrector-off gap filled product development, " in Proc. Pecora 16 Conf., Sioux Falls, SD, 2005, pp. 23-27.
63. D.-C. Tseng, H.-T. Tseng, and C.-L. Chien, "Automatic cloud removal from multi-temporal SPOT images, " Appl. Math. Comput., vol. 205, no. 2, pp. 584-600, Nov. 2008.
64. USGS. (2010, May 8). Preliminary Assessment of the Value of Landsat 7 ETM+ Data following Scan Line Corrector Malfunction. [Online]. Available: http://landsat. usgs. gov/documents/ SLC-off-Scientific-Usability. pdf
65. J. Chen, X. Zhu, J. E. Vogelmann, F. Gao, and S. Jin, "A simple and effective method for filling gaps in Landsat ETM+ SLC-off images, " Remote Sensing Environ., vol. 115, no. 4, pp. 1053-1064, Apr. 2011.
66. A. Savitzky and M. J. E. Golay, "Smoothing and differentiation of data by simplified least squares procedures, " Anal. Chem., vol. 36, no. 8, pp. 1627-1639, July 1964.
67. C. Song, B. Huang, and S. You, "Comparison of three time-series NDVI reconstruction methods based on TIMESAT, " in Proc. 32th IEEE Int. Geoscience Remote Sensing Symp., Munich, Germany, 2012, pp. 2225-2228.
68. Y. Julien and J. A. Sobrino, "Global land surface phenology trends from GIMMS database, " Int. J. Remote Sensing, vol. 30, no. 13, pp. 3495-3513, 2009.
69. P. J. Sellers, C. J. Tucker, G. J. Collatz, S. O. Los, C. O. Justice, D. A. Dazlich, and D. A. Randall, "A global 1°C by 1°C NDVI data set for climate studies. Part 2: The generation of global fields of terrestrial biophysical parameters from the NDVI, " Int. J. Remote Sensing, vol. 15, no. 17, pp. 3519-3545, 1994.
70. W. Verhoef, M. Menenti, and S. Azzali, "Cover A colour composite of NOAA-AVHRR-NDVI based on time series analysis (1981-1992), " Int. J. Remote Sensing, vol. 17, no. 2, pp. 231-235, 1996.
71. B. A. Latif, R. Lecerf, G. Mercier, and L. Hubert-Moy, "Preprocessing of low-resolution time series contaminated by clouds and shadows, " IEEE Trans. Geosci. Remote Sensing, vol. 46, no. 7, pp. 2083-2096, July 2008.
72. H. Fang, S. Liang, J. R. Townshend, and R. E. Dickinson, "Spatially and temporally continuous LAI data sets based on an integrated filtering method: Examples from North America, " Remote Sensing Environ., vol. 112, no. 1, pp. 75-93, Jan. 2008.
73. J. Ql and Y. Kerr, "On current compositing algorithms, " Remote Sensing Rev., vol. 15, nos. 1-4, pp. 235-256, 1997.
74. A. Verger, F. Baret, M. Weiss, S. Kandasamy, and E. F. Vermote, "The CACAO method for smoothing, gap filling, and characterizing seasonal anomalies in satellite time series, " IEEE Trans. Geosci. Remote Sensing, vol. 51, no. 4, pp. 1963-1972, Apr. 2013.
75. L. Ke, X. Ding, and C. Song, "Reconstruction of time-series MODIS LST in central Qinghai-Tibet plateau using geostatistical approach, " IEEE Geosci. Remote Sensing Lett., vol. 10, no. 6, pp. 1602-1606, Nov. 2013.
76. X. Li, H. Shen, L. Zhang, and H. Li, "Sparse-based reconstruction of missing information in remote sensing images from spectral/ temporal complementary information, " ISPRS J. Photogramm. Remote Sens., vol. 106, pp. 1-15, Aug. 2015.
77. M. Zhou, H. Chen, J. Paisley, L. Ren, L. Li, Z. Xing, D. Dunson, G. Sapiro, and L. Carin, "Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images, " IEEE Trans. Image Processing, vol. 21, no. 1, pp. 130-144, Jan. 2012.
78. X. Li, H. Shen, C. Zeng, and P. Wu, "Restoring Aqua MODIS band 6 by other spectral bands using compressed sensing theory, " in Proc. 4th Workshop Hyperspectral Image Signal Processing: Evolution in Remote Sensing, Shanghai, China, 2012, pp. 1-4.
79. X. Li, H. Shen, H. Li, and L. Zhang, "Analysis model based recovery of remote sensing data, " in Proc. 34th IEEE Int. Geoscience Remote Sensing Symp., Quebec, QC, Canada, 2014, pp. 2491-2494.
80. M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries, " IEEE Trans. Image Processing, vol. 15, no. 12, pp. 3736-3745, Dec. 2006.
81. R. R. Irish, J. L. Barker, S. N. Goward, and T. Arvidson, "Characterization of the Landsat-7 ETM+ automated cloud-cover assessment (ACCA) algorithm, " Photogramm. Eng. Remote Sens., vol. 72, no. 10, pp. 1179-1188, Oct. 2006.
82. M. C. M. Team, S. Ackerman, K. Strabala, P. Menzel, R. Frey, C. Moeller, L. Gumley, B. Baum, C. Schaaf, and G. Riggs, "Discriminating clear-sky from cloud with MODIS algorithm theoretical basis document (MOD35), " ATBD Ref. ATBD-MOD-06, version, vol. 4, p. 115, 1997.
83. Z. Zhu and C. E. Woodcock, "Object-based cloud and cloud shadow detection in Landsat imagery, " Remote Sensing Environ., vol. 118, pp. 83-94, Mar. 2012.
84. B. B. Barnes and C. Hu, "A hybrid cloud detection algorithm to improve MODIS sea surface temperature data quality and coverage over the eastern gulf of Mexico, " IEEE Trans. Geosci. Remote Sensing, vol. 51, no. 6, pp. 3273-3285, June 2013.
85. P. L. Scaramuzza, M. A. Bouchard, and J. L. Dwyer, "Development of the Landsat data continuity mission cloud-cover assessment algorithms, " IEEE Trans. Geosci. Remote Sensing, vol. 50, no. 4, pp. 1140-1154, Apr. 2012.
86. Z. Zhu and C. E. Woodcock, "Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data: An algorithm designed specifically for monitoring land cover change, " Remote Sensing Environ., vol. 152, pp. 217-234, Sept. 2014.
87. C. Latry, C. Panem, and P. Dejean, "Cloud detection with SVM technique, " in Proc. IEEE Int. Geoscience Remote Sensing Symp., Barcelona, Spain, 2007, pp. 448-451.
88. B. Huang, H. Zhang, H. Song, J. Wang, and C. Song, "Unified fusion of remote-sensing imagery: Generating simultaneously high-resolution synthetic spatial-temporal-spectral earth observations, " Remote Sensing Lett., vol. 4, no. 6, pp. 561-569, June 2013.
89. Y. Gao, H. Xie, T. Yao, and C. Xue, "Integrated assessment on multi-temporal and multi-sensor combinations for reducing cloud obscuration of MODIS snow cover products of the Pacific Northwest USA, " Remote Sensing Environ., vol. 114, no. 8, pp. 1662-1675, Aug. 2010.
90. L. Zhang, H. Shen, W. Gong, and H. Zhang, "Adjustable modelbased fusion method for multispectral and panchromatic images, " IEEE Trans. Syst. Man Cybern. B, vol. 42, no. 6, pp. 1693-1704, Dec. 2012.
91. W. Zhou and A. C. Bovik, "A universal image quality index, " IEEE Signal Processing Lett., vol. 9, no. 3, pp. 81-84, Mar. 2002.
92. M. J. Pringle, M. Schmidt, and J. S. Muir, "Geostatistical interpolation of SLC-off Landsat ETM+ images, " ISPRS J. Photogramm. Remote Sens., vol. 64, no. 6, pp. 654-664, Nov. 2009.
93. D. P. Roy, J. Ju, P. Lewis, C. Schaaf, F. Gao, M. Hansen, and E. Lindquist, "Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data, " Remote Sensing Environ., vol. 112, no. 6, pp. 3112-3130, June 2008.
94. R. J. Donohue, T. R. McVicar, and M. L. Roderick, "Climate-related trends in Australian vegetation cover as inferred from satellite observations, 1981-2006, " Global Change Biol., vol. 15, no. 4, pp. 1025-1039, Apr. 2009.
95. L. Lorenzi, F. Melgani, G. Mercier, and Y. Bazi, "Assessing the reconstructability of shadow areas in VHR images, " IEEE Trans. Geosci. Remote Sensing, vol. 51, no. 5, pp. 2863-2873, May 2013.
96. H. Li, L. Zhang, and H. Shen, "An adaptive nonlocal regularized shadow removal method for aerial remote sensing images, " IEEE Trans. Geosci. Remote Sensing, vol. 52, no. 1, pp. 106-120, Jan. 2014.
97. H. Shen, H. Li, Y. Qian, L. Zhang, and Q. Yuan, "An effective thin cloud removal procedure for visible remote sensing images, " ISPRS J. Photogramm. Remote Sens., vol. 96, pp. 224-235, Oct. 2014.
98. H. Li, L. Zhang, and H. Shen, "A principal component based haze masking method for visible images, " IEEE Geosci. Remote Sensing Lett., vol. 11, no. 5, pp. 975-979, May 2014.
99. X. Lan, L. Zhang, H. Shen, Q. Yuan, and H. Li, "Single image haze removal considering sensor blur and noise, " EURASIP J. Adv. Signal Processing, vol. 2013, no. 1, pp. 1-13, Apr. 2013.
100. H. Li, L. Zhang, H. Shen, and P. Li, "A variational gradient-based fusion method for visible and SWIR imagery, " Photogramm. Eng. Remote Sensing, vol. 78, no. 9, pp. 947-958, Sept. 2012.