Image Clustering and Classification Using Optimization Algorithms - Praveena Segu
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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 variatio ... Visas aprašymas
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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.
Daugiau informacijos
| Autorius | Praveena Segu |
|---|---|
| Leidėjas | LAP LAMBERT Academic Publishing |
| Išleidimo metai | 2016 |
| Viršelio tipas | Minkšti viršeliai |
| EAN | 9783659920677 |