By Topic

An efficient shadow detection method for high resolution satellite images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Abraham, L. ; Dept. of Electron. & Commun. Eng., Univ. of Kerala, Trivandrum, India ; Sasikumar, M.

The problem of shadowing is particularly significant in high-resolution satellite imaging (HRSI) which causes either a reduction or total loss of information in the image. The research on segmenting shadow regions is of great significance for image interpretation and it is a supportive tool to detect manmade structures. This paper proposes a solution to the problem of automatic extraction of shadow features in color satellite images with high spatial resolution. The algorithm separates shadow from non-shadow by considering the spatial properties of the segmented regions. Experiments are executed on high resolution satellite images, and the results confirm the validity of the proposed method.

Published in:

Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on

Date of Conference:

26-28 July 2012