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Hyperspectral Band Selection With Iterative Graph Autoencoder 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 13
作者:  Zhou, Yuan;  Yao, Qingren;  Huo, Shuwei;  Li, Xiaofeng
收藏  |  浏览/下载：23/0  |  提交时间：2023/12/07
Feature extraction  Iterative methods  Symmetric matrices  Hyperspectral imaging  Convolution  Correlation  Task analysis  Graph autoencoder (GAE)  graph representation  hyperspectral band selection (BS)  representativeness  
A Novel Marine Oil Spillage Identification Scheme Based on Convolution Neural Network Feature Extraction From Fully Polarimetric SAR Imagery 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 59801-59820
作者:  Song, Dongmei;  Zhen, Zongjin;  Wang, Bin;  Li, Xiaofeng;  Gao, Le;  Wang, Ning;  Xie, Tao;  Zhang, Ting
Adobe PDF(5827Kb)  |  收藏  |  浏览/下载：195/0  |  提交时间：2020/09/23
Marine oil spill  RADARSAT-2  PolSAR  deep learning  feature extraction  convolutional neural network (CNN)  
A novel residual graph convolution deep learning model for short-term network-based traffic forecasting 期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 34, 期号: 5, 页码: 27
作者:  Zhang, Yang;  Cheng, Tao;  Ren, Yibin;  Xie, Kun
Adobe PDF(4145Kb)  |  收藏  |  浏览/下载：322/0  |  提交时间：2020/03/20
Short-term traffic forecasting  spatial-temporal dependency  network topology  graph convolution  residual long short-term memory