aj1365/PolSARFormer
This code is for the paper "Local Window Attention Transformer for Polarimetric SAR Image Classification" that is published in the IEEE Geoscience and Remote Sensing Letters journal.
This project helps classify different land cover types within polarimetric Synthetic Aperture Radar (PolSAR) images. You provide raw PolSAR imagery, and it outputs a classified map identifying features like water, urban areas, or vegetation. This is useful for geospatial analysts, environmental scientists, or urban planners who need to interpret detailed radar satellite data.
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Use this if you need to accurately categorize and map features from high-resolution polarimetric SAR satellite images.
Not ideal if you are working with optical satellite imagery or require classification of non-geospatial data.
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Jupyter Notebook
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Apache-2.0
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Last pushed
Feb 11, 2024
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