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Cloud Extraction and Removal in Aerial and Satellite Images

  • Lizy Abraham
  • M. Sasikumar
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 182)

Abstract

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.

Keywords

Adaptive segmentation Average local luminance Shadowing effect 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Lizy Abraham
    • 1
  • M. Sasikumar
    • 2
  1. 1.Department of Electronics & Communication EngineeringLBS Institute of Technology for WomenTrivandrumIndia
  2. 2.Department of Electronics & Communication EngineeringMarian Engineering CollegeTrivandrumIndia

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