Name: Bobo Xi
Type: User
Company: Xidian University
Bio: I'm currently a Lecturer with the School of Communication Engineering, Xidian University, where I am now focusing on HSI processing and deep learning.
Location: School of Telecommunications Engineering, Xidian University, Xi’an 710071, China 2 South Taibai Road
Blog: https://b-xi.github.io/
Bobo Xi's Projects
《深入浅出图神经网络:GNN原理解析》配套代码
Heterogeneous Few-shot Learning for Hyperspectral Image Classification
Source code of "A Single Model CNN for Hyperspectral Image Denoising"
Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.
A integrated deep learning platform for hyperspectral classification by pytorch
Q. Yuan, Q. Zhang, J. Li, H. Shen, and L. Zhang, "Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network," IEEE TGRS, 2019.
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction
A Deep Learning Classification Framework with Spectral and Spatial Feature Fusion Layers for Hyperspectral and Lidar Sensor Data
Tools for training and using unsupervised autoencoders and supervised deep learning classifiers for hyperspectral data.
Hyperspectral-Classification Pytorch
A list of hyperspectral image super-solution resources collected by Junjun Jiang
Matlab code for our JARS18 paper "Spectral and spatial classification of hyperspectral image based on random multi-graphs"
This repository contains a suite of software and a web application that can be used to manually label unlabeled hyperspectral images and classify the dataset using a capsule network based architecture
ICCV 2021 论文和开源项目合集
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE TGRS, 2020.
Graph Information Aggregation Cross-domain Few-shot Learning for Hyperspectral Image Classification. IEEE TNNLS, 2022.
Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification, IGARSS, 2021.
Deep Learning-based Image Fusion: A Survey
Intelligent Processing of Remote Sensing Images Group (IPRSIG)
Matlab code for hyperspectral image classification based on JSaCR (IEEE GRSL, 2017)
Deep Prototypical Networks With Hybrid Residual Attention for Hyperspectral Image Classification, JSTARS, 2020
SGML: A Symmetric Graph Metric Learning Framework for Efficient Hyperspectral Image Classification, JSTARS, 2021
An implementation of the ladder network (a semi supervised learning algorithm) in Tensorflow.