Unified active and semi-supervised learning for hyperspectral image classification

Deep Self-Supervised Learning for Few-Shot Hyperspectral Image Classification

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9323305 ◽

2020 ◽

Author(s):

Yu Li ◽

Lei Zhang ◽

Wei Wei ◽

Yanning Zhang

Keyword(s):

Image Classification ◽

Supervised Learning ◽

Hyperspectral Image ◽

A review on graph-based semi-supervised learning methods for hyperspectral image classification

The Egyptian Journal of Remote Sensing and Space Science ◽

10.1016/j.ejrs.2018.11.001 ◽

2020 ◽

Vol 23 (2) ◽

pp. 243-248 ◽

Cited By ~ 11

Author(s):

Shrutika S. Sawant ◽

Manoharan Prabukumar

Keyword(s):

Image Classification ◽

Supervised Learning ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Learning Methods

Hyperspectral image classification using spectral histograms and semi-supervised learning

10.1117/12.778222 ◽

2008 ◽

Author(s):

Sol M. Cruz Rivera ◽

Vidya Manian

Keyword(s):

Image Classification ◽

Supervised Learning ◽

Hyperspectral Image ◽

A Discriminant Sparse Representation Graph-Based Semi-Supervised Learning for Hyperspectral Image Classification

Communications in Computer and Information Science - Computer Vision ◽

10.1007/978-3-662-48558-3_16 ◽

2015 ◽

pp. 160-167 ◽

Author(s):

Yuanjie Shao ◽

Changxin Gao ◽

Nong Sang

Keyword(s):

Sparse Representation ◽

Image Classification ◽

Supervised Learning ◽

Hyperspectral Image ◽

FPGA Acceleration of a Supervised Learning Method for Hyperspectral Image Classification

2018 International Conference on Field-Programmable Technology (FPT) ◽

10.1109/fpt.2018.00051 ◽

2018 ◽

Author(s):

Kento Tajiri ◽

Tsutomu Maruyama

Keyword(s):

Image Classification ◽

Supervised Learning ◽

Hyperspectral Image ◽

Learning Method ◽

Hyperspectral Image Classification ◽

Fpga Acceleration

Graph-based semi-supervised learning for spectral-spatial hyperspectral image classification

Pattern Recognition Letters ◽

10.1016/j.patrec.2016.01.022 ◽

2016 ◽

Vol 83 ◽

pp. 133-142 ◽

Cited By ~ 30

Author(s):

Li Ma ◽

Andong Ma ◽

Cai Ju ◽

Xingmei Li

Keyword(s):

Image Classification ◽

Supervised Learning ◽

Hyperspectral Image ◽

2016 IEEE Systems and Technologies for Remote Sensing Applications Through Unmanned Aerial Systems (STRATUS) ◽

A simple and effective semi-supervised learning framework for hyperspectral image classification

10.1109/stratus.2016.7811138 ◽

2016 ◽

Author(s):

Ahmed Elshamli ◽

Graham W. Taylor ◽

Shawki Areibi

Keyword(s):

Image Classification ◽

Supervised Learning ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Learning Framework

Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3057768 ◽

2021 ◽

pp. 1-13

Author(s):

Jun Yue ◽

Leyuan Fang ◽

Hossein Rahmani ◽

Pedram Ghamisi

Keyword(s):

Image Classification ◽

Supervised Learning ◽

Hyperspectral Image ◽

Semi-Supervised Learning via Convolutional Neural Network for Hyperspectral Image Classification

2018 24th International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr.2018.8545709 ◽

2018 ◽

Author(s):

Zhigang Ling ◽

Xiuxin Li ◽

Wen Zou ◽

Siyu Guo

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Image Classification ◽

Supervised Learning ◽

Hyperspectral Image ◽