This research project seeks to address the challenging problem of sharpening remotely sensed hyperspectral imagery with higher resolution multispectral or panchromatic imagery, with a focus on ...
The integration of UAV imagery and deep learning algorithms in remote sensing is poised to continue transforming our ability to monitor and comprehend the Earth's surface and its dynamic processes.
Radiometric normalisation is a critical preprocessing step in the analysis of satellite imagery, aimed at mitigating the effects of atmospheric variability, sensor calibration differences, ...
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