| Study of spatial–spectral feature extraction frameworks with 3-D convolutional neural network for robust hyperspectral imagery classification B Praveen, V Menon IEEE Journal of selected topics in applied earth observations and remote …, 2020 | 29 | 2020 |
| A bidirectional deep-learning-based spectral attention mechanism for hyperspectral data classification B Praveen, V Menon Remote Sensing 14 (1), 217, 2022 | 9 | 2022 |
| Novel deep-learning-based spatial-spectral feature extraction for hyperspectral remote sensing applications B Praveen, V Menon 2019 IEEE International Conference on Big Data (Big Data), 5444-5452, 2019 | 8 | 2019 |
| Dual-Branch-AttentionNet: A Novel Deep-Learning-Based Spatial-Spectral Attention Methodology for Hyperspectral Data Analysis B Praveen, V Menon Remote Sensing 14 (15), 3644, 2022 | 5 | 2022 |
| HYPER-VIT: A novel light-weighted visual transformer-based supervised classification framework for hyperspectral remote sensing applications B Praveen, V Menon 2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution …, 2022 | 3 | 2022 |
| An Effective Transfer Learning Based Landmark Detection Framework for UAV-Based Aerial Imagery of Urban Landscapes B Praveen, V Menon, T Mukherjee, B Mesmer, S Gholston, S Corns SoutheastCon 2023, 844-850, 2023 | | 2023 |
| A Comprehensive Study of Deep Learning Frameworks for UAVs-Centric Land Remote Sensing Data Analysis Applications B Praveen The University of Alabama in Huntsville, 2023 | | 2023 |
| Deep learning-based spatial-spectral feature extraction for hyperspectral data analysis applications B Praveen | | 2019 |
| Deep Learning-based Spatial-spectral Feature Extraction for Hyperspectral Data Analysis Applications: A Thesis B Praveen University of Alabama in Huntsville, 2019 | | 2019 |
