NDLI: Contrast enhancement based flood monitoring

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2014 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

2013 International Symposium on Intelligent Signal Processing and Communication Systems

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Contrast enhancement based flood monitoring

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Table of contents

2012 International Symposium on Intelligent Signal Processing and Communications Systems

2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS)

2010 International Symposium on Intelligent Signal Processing and Communication Systems

2008 International Symposium on Intelligent Signal Processing and Communications Systems

2009 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

2007 International Symposium on Intelligent Signal Processing and Communication Systems

2006 International Symposium on Intelligent Signal Processing and Communications

2005 International Symposium on Intelligent Signal Processing and Communication Systems

Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004.

Contrast enhancement based flood monitoring

Content Provider	IEEE Xplore Digital Library
Author	Nazir, F. Riaz, M.M. Ghafoor, A. Arif, F.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Software Eng., Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan (Nazir, F.; Arif, F.) \|\| Dept. of Electr. Eng., Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan (Riaz, M.M.; Ghafoor, A.)
Abstract	A three step based contrast enhancement technique is proposed for flood monitoring. The proposed technique takes pre and post images and apply different processing steps for generating flood map quickly without user interaction which is used by disaster management and rehabilitation authorities. A specific pre processing phase “contrast enhancement”, is also proposed. Simulation results show that the proposed technique provides better output quality (better visual results and remove unwanted artifacts) compared to state of art existing technique.
Starting Page	525
Ending Page	530
File Size	805298
Page Count	6
File Format	PDF
e-ISBN	9781467363617
DOI	10.1109/ISPACS.2013.6704607
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Monitoring Synthetic aperture radar Image segmentation Rivers Visualization Coherence synthetic aperture radar Flood monitoring contrast enhancement
Content Type	Text
Resource Type	Article

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