Name: Chengle Zhou
Type: User
Company: Sun Yat-sen University
Bio: His research interests include image processing, pattern recognition, hyperspectral image classification, anomaly detection, and noisy label detection.
Location: Guang Zhou, China
Chengle Zhou's Projects
Feature Extraction via 3-D Block Characteristics Sharing for Hyperspectral Image Classification (IEEE TGRS 2021)
CVPR 2020 论文开源项目合集
CVPR2021最新论文汇总,主要包括:Transformer, NAS,模型压缩,模型评估,图像分类,检测,分割,跟踪,GAN,超分辨率,图像恢复,去雨,去雾,去模糊,去噪,重建等等
This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.
ECCV 2020 论文开源项目合集,同时欢迎各位大佬提交issue,分享ECCV 2020开源项目
Here, just a test repository.
Hierarchical Structure-Based Noisy Labels Detection for Hyperspectral Image Classification (IEEE J-STARS 2020)
This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction
Feature Extraction via Joint Adaptive Structure Density for Hyperspectral Imagery Classification (IEEE TIM 2021)
Kernel Entropy Component Analysis-Based Robust Hyperspectral Image Supervised Classification (MDPI Remote Sensing 2019)
Online pictures
Optimized Spatial Gradient Transfer for Hyperspectral-LiDAR Data Classification (MDPI Remote Sensing, 2022)
Structure-Aware Multi-Kernel Learning for Hyperspectral Image Classification (IEEE J-STARS,2021)
Spectral–Spatial Hyperspectral Classification via Structural-Kernel Collaborative Representation (IEEE GRSL 2020)
Spatial Peak-Aware Collaborative Representation for Hyperspectral Imagery Classification (IEEE GRSL 2021)
Hyperspectral Classification With Noisy Label Detection via Superpixel-to-Pixel Weighting Distance (IEEE TGRS 2020)
Everything about Transfer Learning and Domain Adaptation--迁移学习