Tanmay Kumar Behera
Papers
2
Total Citations
63
H-Index
2
About
Dr. Tanmay Kumar Behera is a leading researcher in the intersection of deep learning and remote sensing, with a primary focus on vegetation analysis using unmanned aerial vehicle (UAV) imagery. His most impactful contributions center on developing lightweight, efficient deep learning architectures for precise vegetation segmentation from aerial data. In his seminal 2022 works, Dr. Behera introduced novel convolutional neural network frameworks that achieve high-accuracy vegetation extraction while maintaining computational efficiency—a critical advancement for real-time UAV applications in agriculture, forestry, and environmental monitoring. His paper "A Lightweight Deep Learning Architecture for Vegetation Segmentation using UAV-captured Aerial Images" has garnered 32 citations, while "Vegetation Extraction from UAV-based Aerial Images through Deep Learning" has received 31 citations, reflecting the immediate relevance of his work. These contributions address the growing need for automated, scalable solutions in precision agriculture and ecological surveillance, enabling faster and more cost-effective land cover analysis. Dr. Behera’s research bridges the gap between advanced computer vision techniques and practical remote sensing challenges, making him a notable figure in the field of applied deep learning for geospatial data.
Research Focus
Key Achievements
Top Papers
- 1
- 2Vegetation Extraction from UAV-based Aerial Images through Deep Learning31 citations · 2022