| Remote Sensing | Deep Learning
- π° Working on hyperspectral super-resolution and Face biometrics
- π Focused on deep learning, spectral unmixing, and super-resolution models
- π Interested in biodiversity mapping & large-scale ecosystem assessment
- Languages: Python, MATLAB, QGIS
- Deep Learning Frameworks: PyTorch, TensorFlow, Keras
- Tools: Google Earth Engine, Mendeley, Git
- Specialized Domains: Hyperspectral Data, Remote Sensing, Face Analysis
π Click the links to explore repositories
- π DSDCN: Depthwise Separable Dilated Convolution Network for HSI-SR
- π° Blind Hyperspectral Super-Resolution
- π³ Boreal Forest Biodiversity Monitoring with Hyperspectral Data
- π§ Email: usman1021@gamil.com
- π LinkedIn
- π Google Scholar)
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