Image Clustering and Classification Using Optimization Algorithms - Praveena Segu
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Piegāde 12-18 darba dienu laikā
30 dienu atgriešanas politika
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 variatio ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Praveena Segu |
|---|---|
| Izdevējs | LAP LAMBERT Academic Publishing |
| Izlaides gads | 2016 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783659920677 |