An empirical and radiative transfer model based algorithm to remove thin clouds in visible bands

Remote Sensing of Environment

Volumn 179, Issue , 2016, Pages 183-195

  Lv, Haitao ^a   Wang, Yong ^a,b   Shen, Yang ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b EAST CAROLINA UNIVERSITY   (United States)

Author keywords

Empirical analysis; Landsat 8; Radiative transfer model; Thin cloud and its removal; Visible bands

Indexed keywords

GRAPHIC METHODS; IMAGE ACQUISITION; LAND USE; PIXELS; RADIATIVE TRANSFER; STATISTICS;

CLOUD REMOVAL ALGORITHMS; EMPIRICAL ANALYSIS; LAND USE AND LAND COVER; LANDSAT; RADIATIVE TRANSFER MODEL; SPATIAL CORRELATION COEFFICIENTS; SPECTRAL CHARACTERISTICS; VISIBLE BAND;

ALGORITHMS;

ALGORITHM; DATA ACQUISITION; EMPIRICAL ANALYSIS; HISTOGRAM; LAND COVER; LAND USE; LANDSAT; RADIATIVE TRANSFER; SATELLITE IMAGERY; SENSOR; SPATIAL ANALYSIS; WORLDVIEW;

EID: 84962652915     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.03.034     Document Type: Article

References (21)

1. Baig M.H.A., Zhang L., Shuai T., Tong Q. Derivation of a tasseled cap transformation based on Landsat 8 at-satellite reflectance. Remote Sensing Letters 2014, 5(5):423-431. 10.1080/2150704x.2014.915434.
2. Cheng Q., Shen H., Zhang L., Yuan Q., Zeng C. Cloud removal for remotely sensed images by similar pixel replacement guided with a spatio-temporal MRF model. ISPRS Journal of Photogrammetry and Remote Sensing 2014, 92:54-68. 10.1016/j.isprsjprs.2014.02.015.
3. Crist E.P., Cicone R.C. A physically-based transformation of thematic mapper data-The TM tasseled cap. IEEE Transactions on Geoscience and Remote Sensing 1984, 3:256-263. 10.1109/TGRS.1984.350619.
4. Du Y., Guindon B., Cihlar J. Haze detection and removal in high resolution satellite image with wavelet analysis. IEEE Transactions on Geoscience and Remote Sensing 2002, 40(1):210-217. 10.1109/36.981363.
5. Gao B.C., Kaufman Y.J., Han W., Wiscombe W.J. Correction of thin cirrus path radiances in the 0.4-1.0 μm spectral region using the sensitive 1.375 μm cirrus detecting channel. Journal of Geophysical Research: Atmospheres (1984-2012) 1998, 103(D24):32169-32176. 10.1029/98jd02006.
6. Ju J., Roy D.P. The availability of cloud-free Landsat ETM+ data over the conterminous United States and globally. Remote Sensing of Environment 2008, 112(3):1196-1211. 10.1016/j.rse.2007.08.011.
7. Lavreau J. De-hazing Landsat thematic mapper images. Photogrammetric Engineering and Remote Sensing 1991, 57(10):1297-1302.
8. Li X., Shen H., Zhang L., Zhang H., Yuan Q., Yang G. Recovering quantitative remote sensing products contaminated by thick clouds and shadows using multitemporal dictionary learning. IEEE Transactions on Geoscience and Remote Sensing 2014, 52(11):7086-7098. 10.1109/TGRS.2014.2307354.
9. Li H., Zhang L., Shen H., Li P. A variational gradient-based fusion method for visible and SWIR imagery. Photogrammetric Engineering & Remote Sensing 2012, 78(9):947-958. 10.14358/PERS.78.9.947.
10. Liang S., Fang H., Chen M. Atmospheric correction of Landsat ETM+ land surface imagery. I. Methods. IEEE Transactions on Geoscience and Remote Sensing 2001, 39(11):2490-2498. 10.1109/36.964986.
11. Lin C.H., Tsai P.H., Lai K.H., Chen J.Y. Cloud removal from multitemporal satellite images using information cloning. IEEE Transactions on Geoscience and Remote Sensing 2013, 51(1):232-241. 10.1109/tgrs.2012.2197682.
12. Liu Q., Liu G., Huang C., Xie C. Comparison of tasseled cap transformations based on the selective bands of Landsat 8 OLI TOA reflectance images. International Journal of Remote Sensing 2015, 36(2):417-441. 10.1080/01431161.2014.995274.
13. Maalouf A., Carré P., Augereau B., Fernandez-Maloigne C. A bandelet-based inpainting technique for clouds removal from remotely sensed images. IEEE Transactions on Geoscience and Remote Sensing 2009, 47(7):2363-2371. 10.1109/tgrs.2008.2010454.
14. Poggio L., Gimona A., Brown I. Spatio-temporal MODIS EVI gap filling under cloud cover: An example in Scotland. ISPRS Journal of Photogrammetry and Remote Sensing 2012, 72:56-72. 10.1016/j.isprsjprs.2012.06.003.
15. Roy D.P., Ju J., Lewis P., Schaaf C., Gao F., Hansen M., Lindquist E. Multi-temporal MODIS-Landsat data fusion for relative radiometric normalization, gap filling, and prediction of Landsat data. Remote Sensing of Environment 2008, 112(6):3112-3130. 10.1016/j.rse.2008.03.009.
16. Shen H., Li H., Qian Y., Zhang L., Yuan Q. An effective thin cloud removal procedure for visible remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing 2014, 96:224-235. 10.1016/j.isprsjprs.2014.06.011.
17. Shen Y., Wang Y., Lv H. Removal of thin clouds using cirrus and QA bands of Landsat-8. Photogrammetric Engineering & Remote Sensing 2015, 81(9):41-51. 10.14358/PERS.81.9.41.
18. Souza M.P., Pereira E.B., Martins F.R., Chagas R.C., Freitas W.S. The cloud cover fraction obtained from a ground CCD camera and its effect on a radiative transfer model. EGS-AGU-EUG Joint Assembly 2003, 1:2601.
19. Zhang Y., Guindon B., Cihlar J. An image transform to characterize and compensate for spatial variations in thin cloud contamination of Landsat images. Remote Sensing of Environment 2002, 82(2):173-187. 10.1016/s0034-4257(02)00034-2.
20. Zhu Z., Woodcock C.E. Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 2012, 118:83-94. 10.1016/j.rse.2011.10.028.
21. Zhu Z., Wang S., Woodcock C.E. Improvement and expansion of the Fmask algorithm: Cloud, cloud shadow, and snow detection for Landsats 4-7, 8, and Sentinel 2 images. Remote Sensing of Environment 2015, 159:269-277. 10.1016/j.rse.2014.12.014.