A New Semi-automated Flood Detection Using Fuzzy Rule Based Classification

S.Ranjini

sensors, image processing, flood detection, fuzzy set theory

Image Processing is a technique to develop raw images received from cameras/sensors located on satellites, space probes and aircrafts or pictures taken in normal day-to-day life for various applications. Image Processing systems have easy availability of powerful personnel computers, large size memory devices, graphics software etc. In this present work, image processing is used with fuzzy set theory to detect flood areas.

Published Paper   E-Certificate

"A New Semi-automated Flood Detection Using Fuzzy Rule Based Classification", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 10, page no.156 - 158, October-2018, Available :https://ijsdr.org/papers/IJSDR1810025.pdf

Volume 3 Issue 10, October-2018

Pages : 156 - 158

Paper Reg. ID: IJSDR_180702

Published Paper Id: IJSDR1810025

Downloads: 000347156

Research Area: Engineering

Country: Coimbatore, Tamilnadu, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1810025

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1810025

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition