namratadutt/LiDAR-and-Hyperspectral-Fusion-classification
Landcover classification using the fusion of HSI and LiDAR data.
This project helps environmental scientists and urban planners accurately identify different types of land cover, such as buildings, roads, water, or vegetation. It takes in hyperspectral imagery and LiDAR data, then outputs a detailed map classifying each area. Geographers, ecologists, and urban developers can use this for mapping and analysis.
No commits in the last 6 months.
Use this if you need to precisely classify land cover types by combining detailed spectral information with 3D elevation data.
Not ideal if you only have one type of input data (either hyperspectral or LiDAR) or if you require real-time processing for dynamic environments.
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Language
Python
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Last pushed
Jun 13, 2022
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