Research on semi-supervised learning for hyperspectral remote sensing imaging classification base on confidence entropy

被引：0

作者：

Wang, Chunyang ^{[1
,2
]}

Xu, Zhifang ^{[2
]}

Wang, Shuangting ^{[2
]}

Zhang, Hebing ^{[2
]}

Chen, Zhichao ^{[2
]}

机构：

[1] Henan Polytech Univ, Natl Adm Surveying Mapping & Geoinformat, Key Lab Mine Spatial Informat Technol, Jiaozuo 454003, Peoples R China

[2] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454003, Peoples R China

来源：

2016 IEEE 22ND INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS) | 2016年

关键词：

hyperspectral image; image classification; semi-supervised learning; posterior probability; confidence entropy; S EVIDENCE THEORY; 3; DECADES; FUSION;

D O I：

10.1109/ICPADS.2016.163

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The research of Hyperspectral classification is the hotpots at present. In this article, an effective semi-supervised classification method was proposed for hyperspectral image based on confidence entropy. The experimental results show that the proposed method can effectively improve the accuracy of classification and obtain better classification results for hyperspectral image data using few labeled samples.

引用

页码：1225 / 1228

页数：4

共 50 条

[41] Improved Active Deep Learning for Semi-Supervised Classification of Hyperspectral Image
Wang, Qingyan
Chen, Meng
Zhang, Junping
Kang, Shouqiang
Wang, Yujing
REMOTE SENSING, 2022, 14 (01)
[42] Hyperspectral Image Classification with Imbalanced Data Based on Semi-Supervised Learning
Zheng, Xiaorou
Jia, Jianxin
Chen, Jinsong
Guo, Shanxin
Sun, Luyi
Zhou, Chan
Wang, Yawei
APPLIED SCIENCES-BASEL, 2022, 12 (08):
[43] Uncertainty-Aware Contrastive Learning for Semi-Supervised Classification of Multimodal Remote Sensing Images
Ding, Kexin
Lu, Ting
Li, Shutao
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62 : 1 - 13
[44] SEMI-SUPERVISED CLASSIFICATION OF HYPERSPECTRAL IMAGES BASED ON CONTRASTIVE LEARNING CONSTRAINT
Ding, Junyuan
Wen, Yue
Ren, Weixin
Zhang, Lei
Wei, Wei
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 7273 - 7276
[45] Hyperspectral image classification using spectral histograms and semi-supervised learning
Rivera, Sol M. Cruz
Manian, Vidya
ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XIV, 2008, 6966
[46] HYPERSPECTRAL IMAGE CLASSIFICATION USING SEMI-SUPERVISED LEARNING WITH LABEL PROPAGATION
Patel, Usha
Dave, Hardik
Patel, Vibha
2020 IEEE INDIA GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (INGARSS), 2020, : 205 - 208
[47] Semi-supervised Hyperspectral Image Classification with Graphs
Bandos, Tatyana V.
Zhou, Dengyong
Camps-Valls, Gustavo
2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 3883 - +
[48] A Few-Shot Semi-Supervised Learning Method for Remote Sensing Image Scene Classification
Zhu, Yuxuan
Li, Erzhu
Su, Zhigang
Liu, Wei
Samat, Alim
Liu, Yu
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2024, 90 (02): : 121 - 126
[49] Semi-Supervised Representation Learning for Remote Sensing Image Classification Based on Generative Adversarial Networks
Yan, Peiyao
He, Feng
Yang, Yajie
Hu, Fei
IEEE ACCESS, 2020, 8 : 54135 - 54144
[50] Semi-supervised Scene Classification of Remote Sensing Images Based on GAN
Xia Ying
Li Junyao
Guo Dongen
ACTA PHOTONICA SINICA, 2022, 51 (03)

← 1 2 3 4 5 →