Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
66 Comparing Supervised and Unsupervised Classifiers for Multispectral Image Analysis
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This paper compares supervised and unsupervised classification of using satellite multi-spectral images for monitoring vegetation growth on lakes and its effect on water quality. The area of interest (AOI) is Lake Tyler which is the main water source for the City of Tyler. It is important to maintain the water quality by monitoring various parameters such as the amount of vegetation growth, surface area covered by water, water pollution, etc. Traditional field based mapping and monitoring present several challenges including inaccessibility and in identifying dynamic changes. Multi-spectral images from Landsat-5 Thematic Mapper (TM), along with the ground truth provided by...