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Han Van Nguyen's Projects

deep-hs-prior icon deep-hs-prior

Single Hyperspectral Image Denoising, Inpainting, Super-Resolution

deep-sure-fusion icon deep-sure-fusion

Python codes for the paper "Deep SURE for unsupervised remote sensing image fusion", accepted in TGRS, 2022.

dip-slr icon dip-slr

Codes for the paper "Deep sparse and low-rank for HSI denoising" in Proceeding of IGARSS 2022, Kuala Lumpur.

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hsi_denoising_sure_cnn icon hsi_denoising_sure_cnn

Codes for the paper "Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural Networks", published in IEEE TGRS Vol. 59, Issue 4, 2020.

hvn2.github.io icon hvn2.github.io

Build a Jekyll blog in minutes, without touching the command line.

hybridsn icon hybridsn

This is a tensorflow and keras based implementation of HybridSN in our paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

s2_ssc_cnn icon s2_ssc_cnn

Codes for the paper "Zero-shot Sentinel 2 sharpening using a symmetric skipped connection convolutional neural network" in Proceeding of IGRASS 2020.

s2s_ucnn icon s2s_ucnn

Official Python codes for the paper "Sentinel-2 Sharpening Using a Single Unsupervised Convolutional Neural Network With MTF-Based Degradation Model", published in IEEE JSTARS Vol. 14, 2021.

studybook icon studybook

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

sure-ergas icon sure-ergas

Pytorch codes for the paper "SURE-ERGAS: UNSUPERVISED DEEP LEARNING MULTISPECTRAL AND HYPERSPECTRAL IMAGE FUSION", in Proceeding of IEEE IGARSS 2023, Pasadena, USA

sure-ms-hs icon sure-ms-hs

Codes for the paper "Hyperspectral super-resolution by unsupervised convolutional neural network and SURE" in Proceeding of IGARSS 2022, Kuala Lumpur, Malaysia.

tensorflow-book icon tensorflow-book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

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