Mapping melliferous tree species in Kenya via one-class classification with hyperspectral unsupervised domain adaptation
The beekeeping sector holds significant potential for livelihood diversification among the agropastoral communities in Kenya. Melliferous tree species play a critical role by providing essential nectar sources for bees. However, limited knowledge of their precise spatial distributions constrains the full development of beekeeping. One-class classification (OCC) offers a practical solution for detecting single target species without requiring extensive labeled data from other classes. Although existing OCC methods perform well in trained domains, the generalization capability to unseen domains remains limited due to domain shift. To address these challenges, this study proposes a hyperspec...
| Authors | Zhaozhi Luo, Janne Heiskanen, Ilja Vuorinne et al. |
|---|---|
| Primary category | eess.IV |
| Published | 3 August 2026 |
| Last updated at source | 3 August 2026 |
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