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
paper:Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classification
Keras implementation of Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image Classification
Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification
the official implementation of paper Attention-Based Second-Order Pooling Network for Hyperspectral Image Classification (A-SPN).
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Code repository for Advanced Machine Learning with Python, published by Packt
The code implementation of our paper "Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification" (IEEE TGRS, 2020).
Code for the paper "Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification"
A collection of AWESOME things about domian adaptation
List of datasets, codes, papers, and contests related to remote sensing change detection
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
My homepage: https://b-xi.github.io/
The feature extraction code of "BAMS-FE: Band-by-Band Adaptive Multiscale Superpixel Feature Extraction for Hyperspectral Image Classification", which was publiced in TGRS in 2023
It is the code for paper "Yong-Qiang Zhao ; Lei Zhang ; Seong G. Kong. Band Subset Based Clustering Fusion for Hyperspectral Imagery Classification, IEEE Transactions on Geoscience and Remote Sensing ( Volume: 49, Issue: 2, Feb. 2011 )"
BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network
This is the code of "Hyperspectral Image Classification with Convolutional Neural Network and Active Learning".
Q. Liu, L. Xiao, J. Yang and Z. Wei, "CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3037361.
This is a TensorFlow implementation of Convolutional Neural Network for Hyperspectral Image Classification
Content-Guided Convolutional Neural Network for Hyperspectral Image Classification
Code for the paper "Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification"
Cross Domain CNN for Hyperspectral Image Classification