Obioma C. Ogwo
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Also affiliated: University of Arkansas System (2024–2025)
Research Areas
Biography and Research Information
OverviewAI-generated summary
Obioma C. Ogwo's research focuses on the application of deep learning techniques for wetland vegetation classification. Their work investigates the impact of spectral and spatial features in enhancing the accuracy of these classifications. Recent publications have explored site-specific accuracy and the challenges inherent in classifying wetland vegetation using advanced computational methods. Ogwo's recent publications include "Deep learning for wetland vegetation mapping in the southeastern United States: evaluating site-specific accuracy and classification challenges" (2026), "The Roles of Spectral and Spatial Features in Enhancing Wetland Vegetation Classification Using Deep Learning" (2025), and "Deep Learning-Based Wetland Vegetation Classification: The Impact of Spectral and Spatial Features" (2024).
Metrics
- Publications: 3
Selected Publications
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Deep learning for wetland vegetation mapping in the southeastern United States: evaluating site-specific accuracy and classification challenges (2026)
Collaboration Network
Top Collaborators
- Deep learning for wetland vegetation mapping in the southeastern United States: evaluating site-specific accuracy and classification challenges
- Deep learning for wetland vegetation mapping in the southeastern United States: evaluating site-specific accuracy and classification challenges
- Deep learning for wetland vegetation mapping in the southeastern United States: evaluating site-specific accuracy and classification challenges
- Deep learning for wetland vegetation mapping in the southeastern United States: evaluating site-specific accuracy and classification challenges
- Deep learning for wetland vegetation mapping in the southeastern United States: evaluating site-specific accuracy and classification challenges
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