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INSS-Hyperspectral Remote Sensing Image Synthesis based on Implicit Neural Spectral Mixing Models

This is the code for paper: Hyperspectral remote sensing image synthesis based on implicit neural spectral mixing models.

Please cite this paper:

@article{liu2022hyperspectral, title={Hyperspectral remote sensing image synthesis based on implicit neural spectral mixing models}, author={Liu, Liqin and Zou, Zhengxia and Shi, Zhenwei}, journal={IEEE Transactions on Geoscience and Remote Sensing}, volume={61}, pages={1--14}, year={2022}, publisher={IEEE} }

Main Requirements: Python 3.5.2 Pytorch 1.4.0 Gdal 2.2.2

Train: python aviris_generation_physics.py

Test: python aviris_generation_physics_test.py

More details(models and generate results):
https://pan.baidu.com/s/1JB2z9zVCu0QJMFKcITLLGA?pwd=8voy

The grss_dfc_2018 dataset can be downloaded with the link: https://pan.baidu.com/s/1q3CVQgeQaUxZlLZgOVHYsA?pwd=qu4x

The aviris dataset can be downloaded with the link: https://pan.baidu.com/s/1dph1UK-BT_TgP0kD_erPaA?pwd=zbj1

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spectral super-resolution, implicit neural representation, remote sensing hyperspectral image synthesis.

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