venkanna37/Label-Pixels
Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.
This tool helps remote sensing analysts and researchers automatically identify and extract specific features like roads from satellite or aerial imagery. You input a large remote sensing image and corresponding vector files (like shapefiles) defining the features you want to find. The output is a pixel-level classification, effectively a map highlighting the identified features across the input imagery.
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Use this if you need to precisely map and extract specific geographic features from high-resolution satellite or aerial imagery for tasks like urban planning or environmental monitoring.
Not ideal if your primary goal is general image classification or object detection rather than detailed pixel-level feature segmentation on remote sensing data.
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73
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Language
Python
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Last pushed
Nov 07, 2022
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