Convolutional Neural Network-based SAR Image Classification with Noisy Labels

Convolutional Neural Network-based SAR Image Classification with Noisy Labels

SAR image classification is an important task in SAR image interpretation. Supervised learning methods, such as the Convolutional Neural Network (CNN), demand samples that are accurately labeled. However, this presents a major challenge in SAR image labeling. Due to their unique imaging mechanism, S...

Full description

Bibliographic Details
Main Authors: Zhao Juanping, Guo Weiwei, Liu Bin, Cui Shiyong, Zhang Zenghui, Yu Wenxian
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2017-10-01
Series:Leida xuebao
Subjects:
SAR image classification
Supervised learning
Noisy labels
Probability Transition Convolutional Neural Network (PTCNN)
Deep features
Online Access:http://radars.ie.ac.cn/fileup/HTML/R16140.htm

Similar Items

Similar Items