A Multi-Scale and Multi-Level Spectral-Spatial Feature Fusion Network for Hyperspectral Image Classification

by Caihong Mu, Zhen Guo, Yi Liu
Published 2020-01-01

Hyperspectral Image Spectral–Spatial Classification Method Based on Deep Adaptive Feature Fusion

by Caihong Mu, Yijin Liu, Yi Liu
Published 2021-02-01

A Two-Branch Convolutional Neural Network Based on Multi-Spectral Entropy Rate Superpixel Segmentation for Hyperspectral Image Classification

by Caihong Mu, Zhidong Dong, Yi Liu
Published 2022-03-01

Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion Using Spatial Coordinates

by Caihong Mu, Jian Liu, Yi Liu, Yijin Liu
Published 2020-01-01

Hyperspectral Images Unmixing Based on Abundance Constrained Multi-Layer KNMF

by Jing Liu, You Zhang, Yi Liu, Caihong Mu
Published 2021-01-01

A Feature Embedding Network with Multiscale Attention for Hyperspectral Image Classification

by Yi Liu, Jian Zhu, Jiajie Feng, Caihong Mu
Published 2023-06-01

Hyperspectral Remote Sensing Images Deep Feature Extraction Based on Mixed Feature and Convolutional Neural Networks

by Jing Liu, Zhe Yang, Yi Liu, Caihong Mu
Published 2021-07-01

A Special Points-Based Hybrid Prediction Strategy for Dynamic Multi-Objective Optimization

by Jianxia Li, Ruochen Liu, Ruinan Wang, Jin Liu, Caihong Mu
Published 2019-01-01