Image Clustering and Classification Using Optimization Algorithms - Segu, Praveena
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This research work focused on the satellite image clustering by developing some numerical algorithms to analyze the satellite images captured by satellites. it is aimed to enhance the classification accuracy by two proposed algorithms. Each approach goes through three phrases i.e preprocessing, segmentation and classification. these approaches show optimal results under observing condition, dynamic variation in regional details or noise effect degrades its performance.

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Produktbeschreibung
This research work focused on the satellite image clustering by developing some numerical algorithms to analyze the satellite images captured by satellites. it is aimed to enhance the classification accuracy by two proposed algorithms. Each approach goes through three phrases i.e preprocessing, segmentation and classification. these approaches show optimal results under observing condition, dynamic variation in regional details or noise effect degrades its performance.
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Autorenporträt
She completed her B.Tech from RGMCET(Rajeev Gandhi Memorial college of Engineering and Technology) Nandyal,A.P and PG,Ph.d from JNTUH HYDERABD in the years 2006,2016 respectively. Presently working at MGIT as Asst.prof in the dept of ECE from past 12 years. Published 15 papers in various national and international journals and conferences..