hearthead2018

hearthead2018

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IEEE_TPAMI_SpectralGPT

Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A. and Gamba, P., Benediktsson, J., Chanussot, J. (2024). SpectralGPT: Spectral remote sensing foundation model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. DOI:10.1109/TPAMI.2024.3362475.

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MTP

The official repo for [JSTARS'24] "MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining"

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DOFA

Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities

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SEANet_torch

ISPRS: Using a semantic edge-aware multi-task neural network to delineate agricultural parcels from remote sensing images

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Exchanger4SITS

The official code repository for paper "Rethinking the Encoding of Satellite Image Time Series".

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BsiNet-torch

JAG: Delineation of agricultural fields using multi-task BsiNet from high-resolution satellite images

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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test

Automatically create machine learning datasets from satellite images

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GeoMLA

Machine Learning algorithms for spatial and spatiotemporal data

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S2preprocessing

A collection of python and bash scripts for downloading, preprocessing and uploading Sentinel images.

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