drone classification using AI

[muacas]

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Does anyone have knowledge on how to use hyperspectral images to classify drone orthomosaic using AI in Python?

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[enzox0]

You can classify a hyperspectral drone orthomosaic in Python using AI by following a straightforward workflow: first load the hyperspectral mosaic (commonly in ENVI or GeoTIFF format) using libraries like spectral or rasterio, then preprocess the data through normalization, noise reduction, or dimensionality reduction such as PCA or MNF. After preparing ground-truth labels from GIS tools, you can train either traditional machine-learning models like Random Forest or SVM using each pixel’s spectral signature, or deep-learning approaches such as 3D CNNs or U-Net for spectral–spatial classification. Once trained, the model is applied to the entire hyperspectral cube to generate a classified map, which can then be saved as a GeoTIFF and visualized with Python tools.