中文版 | English

在结果中检索

OPT OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共90条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Ensemble of half-space trees for hyperspectral anomaly detection 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2022, 卷号: 65, 期号: 9
作者:  Huang, Ju;  Li, Xuelong
Adobe PDF(2153Kb)  |  收藏  |  浏览/下载：127/0  |  提交时间：2022/10/10
hyperspectral image  anomaly detection  extended morphological attribute profile  mass estimation  half-space tree  
Context and Difference Enhancement Network for Change Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15
作者:  Song, Dawei;  Dong, Yongsheng;  Li, Xuelong
Adobe PDF(5123Kb)  |  收藏  |  浏览/下载：141/0  |  提交时间：2022/12/02
Transformers  Feature extraction  Context modeling  Task analysis  Remote sensing  Data mining  Semantics  Change detection (CD)  content difference enhancement  global context  remote sensing  
Two-stream network for infrared and visible images fusion 期刊论文
Neurocomputing, 2021, 卷号: 460, 页码: 50-58
作者:  Liu, Luolin;  Chen, Mulin;  Xu, Mingliang;  Li, Xuelong
Adobe PDF(3505Kb)  |  收藏  |  浏览/下载：203/0  |  提交时间：2021/09/06
Image fusion  Infrared image  Thermal image  Two-stream network  
Density saliency for clustered building detection and population capacity estimation 期刊论文
Neurocomputing, 2021, 卷号: 458, 页码: 127-140
作者:  Liu, Kang;  Huang, Ju;  Xu, Mingliang;  Perc, Matja;  Li, Xuelong
Adobe PDF(5204Kb)  |  收藏  |  浏览/下载：208/0  |  提交时间：2021/09/06
Remote sensing  Clustered Building Detection (CBD)  Saliency heatmap  Deep Neural Network (DNN)  Population Capacity Estimation (PCE)  
Tilt Correction Towards Building Detection of Remote Sensing Images 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 卷号: 14, 页码: 5854-5866
作者:  Liu, Kang;  Jiang, Zhiyu;  Xu, Mingliang;  Perc, Matjaz;  Li, Xuelong
Adobe PDF(8821Kb)  |  收藏  |  浏览/下载：158/0  |  提交时间：2021/06/22
Building detection  cost of building partition (CoBP)  deep neural network (DNN)  remote sensing  tilt correction (TC)  
Hierarchical Edge Refinement Network for Saliency Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7567-7577
作者:  Song, Dawei;  Dong, Yongsheng;  Li, Xuelong
Adobe PDF(3064Kb)  |  收藏  |  浏览/下载：229/0  |  提交时间：2021/09/30
Image edge detection  Feature extraction  Saliency detection  Data mining  Convolution  Semantics  Visualization  Saliency detection  edge preserving network  atrous spatial pyramid pooling module  one-to-one hierarchical supervision strategy  
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8246-8257
作者:  Mou, Lichao;  Lu, Xiaoqiang;  Li, Xuelong;  Zhu, Xiao Xiang
Adobe PDF(10395Kb)  |  收藏  |  浏览/下载：232/0  |  提交时间：2020/12/21
Hyperspectral imaging  Convolution  Task analysis  Recurrent neural networks  Semisupervised learning  Support vector machines  Graph convolutional network (GCN)  hyperspectral image classification  nonlocal graph  semisupervised learning  
Learning blur invariant binary descrip for face recognition 期刊论文
Neurocomputing, 2020, 卷号: 404, 页码: 34-40
作者:  Zhao, Chen;  Li, Xuelong;  Dong, Yongsheng
Adobe PDF(1222Kb)  |  收藏  |  浏览/下载：215/1  |  提交时间：2020/06/02
Blur robust face recognition  Feature learning  Binary descriptor  
Supervised deep hashing with a joint deep network 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 105
作者:  Chen, Yaxiong;  Lu, Xiaoqiang;  Li, Xuelong
Adobe PDF(2408Kb)  |  收藏  |  浏览/下载：196/3  |  提交时间：2020/07/20
Image retrieval  Supervised hashing  CNN  RNN  Deep learning  
Siamese Dilated Inception Hashing With Intra-Group Correlation Enhancement for Image Retrieval 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 3032-3046
作者:  Lu, Xiaoqiang;  Chen, Yaxiong;  Li, Xuelong
Adobe PDF(3109Kb)  |  收藏  |  浏览/下载：250/0  |  提交时间：2020/09/04
Correlation  Hash functions  Semantics  Training  Approximation algorithms  Convolution  Image retrieval  Category-level semantics  deep hashing  image retrieval  multi-scale contextual information