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Comparison of Neural Net Classification Method with Seeded Region Growing Technique To Identify different classes of wetland using LISS-III Data

Author(s):

Bhavsar Ronit Nalinkumar , L.D.College Of Engineering; N.P.Singh, L.D.College Of Engineering; Indra Prakash, BISAG; Manoj Pandya, BISAG

Keywords:

Neural Network, SGR, Feed forward network

Abstract

This paper classifies wetland of Nal Sarovar by using LISS-III remote sensing data. Taking the Nal Sarovar as study area, LISS-III data of 2013 is used as data source. Neural Net Classification method and Seeded Region Growing Technique is used to identify different classes of wetland of Nal Sarovar area. The paper describes the utilization of accuracy assessment using kappa coefficients. This paper describes that Neural Net classification is more efficient than Seeded Region Growing technique.

Other Details

Paper ID: IJSRDV2I2193
Published in: Volume : 2, Issue : 2
Publication Date: 01/05/2014
Page(s): 308-310

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