Pinned Repositories
academic-kickstart
ALMM_TIP
An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing, IEEE TIP, 2019.
autoencoders
Implementation of several different types of autoencoders
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
BOT-Learning
CNN-AL-MRF
This is the code of "Hyperspectral Image Classification with Convolutional Neural Network and Active Learning".
deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
ExViT
HyperSpectralToolbox
HyperSpectral Matlab Toolbox forked from Sourceforge
UCSL
jingyao16's Repositories
jingyao16/BOT-Learning
jingyao16/HybridSN
A keras based implementation of Hybrid-Spectral-Net as in our paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
jingyao16/Hyperspectral-Image-Super-Resolution-Benchmark
A list of hyperspectral image super-solution resources collected by Junjun Jiang
jingyao16/DeepHyperX
Deep learning toolbox based on PyTorch for hyperspectral data classification.
jingyao16/sewar
All image quality metrics you need in one package.
jingyao16/Hyperspectral-Classification
Hyperspectral-Classification Pytorch
jingyao16/visdom-tutorial
A simple tutorial to use Visdom to plot your PyTorch training graphs
jingyao16/MTL_PAN_SEG
Implementation of "Multi-task Deep Learning for Satellite Image Pansharpening and Segmentation"
jingyao16/Hyperspectral-Image-Segmentation
Semantic Segmentation of HyperSpectral Images using a U-Net with Depthwise Separable Convolutions
jingyao16/MatConvNetonWindows10
jingyao16/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
jingyao16/pansharpening-cnn
Target-Adaptive CNN Based Pansharpening is an advanced version of pansharpening method PNN with residual learning, different loss and a target-adaptive phase.
jingyao16/SRGAN_Wasserstein
Apply Waseerstein GAN into SRGAN, a deep learning super resolution model
jingyao16/DRPNN-Deep-Residual-Pan-sharpening-Neural-Network
jingyao16/SSRN
This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".
jingyao16/HyperSpectralToolbox
HyperSpectral Matlab Toolbox forked from Sourceforge
jingyao16/PRML
PRML algorithms implemented in Python
jingyao16/PSGan
jingyao16/pypher
PSF Homogenization kERnels
jingyao16/Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
jingyao16/simple
A static blog generator with a single static page
jingyao16/HySure
HySure is an algorithm to fuse hyperspectral remote sensing images with either multispectral or panchromatic ones.
jingyao16/autoencoders
Implementation of several different types of autoencoders