Cloud Extraction and Removal in Aerial and Satellite Images
Aerial and satellite images are projected images where clouds and cloud-shadows cause interferences in them. Detecting the presence of clouds over a region is important to isolate cloud-free pixels used to retrieve atmospheric thermodynamic information and surface geophysical parameters. This paper describes an adaptive algorithm to reduce both effects of clouds and their shadows from remote sensed images. The proposed method is implemented and tested with remote sensed RGB and monochrome images and also for visible (VIS) satellite imagery and infrared (IR) imagery. The results show that this approach is effective in extracting infected pixels and their compensation.
KeywordsAdaptive segmentation Average local luminance Shadowing effect
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- 2.Abd-Elrahman, A., Shaker, I.F., Abdel-Gawad, A.K., Abdel-Wahab, A.: Enhancement of Cloud-Associated Shadow Areas in Satellite Images Using Wavelet Image Fusion. World Applied Sciences Journal 4(3), 363–370 (2008)Google Scholar
- 4.Borchartt, T.B., de Melo, R.H.C., Gazolla, J.G.F.M., Resmini, R., Conci, A., Sanchez, A., de A. Vieira, E.: On the reduction of cloud influence in natural and aerial images. In: 18th International Conference on Systems, Signals and Image Processing, pp. 1–4 (June 2011)Google Scholar
- 6.Guo, R., Dai, Q., Hoiem, D.: Single-Image Shadow Detection and Removal using Paired Regions. In: 24th IEEE Conference on Computer Vision and Pattern Recognition, USA, pp. 2033–2040 (2011)Google Scholar