OPT OpenIR
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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:137/0  |  提交时间:2022/10/10
hyperspectral image  anomaly detection  extended morphological attribute profile  mass estimation  half-space tree  
Eagle-Eye-Inspired Attention for Object Detection in Remote Sensing 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 7
作者:  Liu, Kang;  Huang, Ju;  Li, Xuelong
Adobe PDF(2850Kb)  |  收藏  |  浏览/下载:146/0  |  提交时间:2022/05/05
remote sensing  object detection  eagle-eye fovea network (EFNet)  anchor-free  attention mechanism  
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:219/0  |  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:164/0  |  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:238/0  |  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  
Background Purification Framework With Extended Morphological Attribute Profile for Hyperspectral Anomaly Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 8113-8124
作者:  Huang, Ju;  Liu, Kang;  Xu, Mingliang;  Perc, Matjaz;  Li, Xuelong
Adobe PDF(5483Kb)  |  收藏  |  浏览/下载:241/0  |  提交时间:2021/09/09
Anomaly detection  background purification  extended attribute profile (EAP)  hyperspectral image (HSI)  sparse representation (SR)  stacked autoencoder (SAE)  
Background purification framework with extended morphological attribute profile for hyperspectral anomaly detection 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 卷号: 14, 页码: 8113-8124
作者:  Huang, Ju;  Liu, Kang;  Xu, Mingliang;  Perc, Matja;  Li, Xuelong
Adobe PDF(5483Kb)  |  收藏  |  浏览/下载:137/0  |  提交时间:2022/02/07
Anomaly detection  background purification  extended attribute profile (EAP)  hyperspectral image (HSI)  sparse representation (SR)  stacked autoencoder (SAE)  
Semantic Descriptions of High-Resolution Remote Sensing Images 期刊论文
IEEE Geoscience and Remote Sensing Letters, 2019, 卷号: 16, 期号: 8, 页码: 1274-1278
作者:  Wang, Binqiang;  Lu, Xiaoqiang;  Zheng, Xiangtao;  Li, Xuelong
Adobe PDF(1229Kb)  |  收藏  |  浏览/下载:201/0  |  提交时间:2019/08/11
High-resolution remote sensing image  semantic understanding  
Bidirectional adaptive feature fusion for remote sensing scene classification 期刊论文
NEUROCOMPUTING, 2019, 卷号: 328, 期号: SI, 页码: 135-146
作者:  Lu, Xiaoqiang;  Ji, Weijun;  Li, Xuelong;  Zheng, Xiangtao
Adobe PDF(3917Kb)  |  收藏  |  浏览/下载:212/4  |  提交时间:2019/03/14
Bidirectional adaptive feature fusion  High spatial resolution remote Sensing images  Scene classification  
Matrix-Regularized Multiple Kernel Learning via (r, p) Norms 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4997-5007
作者:  Han, Yina;  Yang, Yixin;  Li, Xuelong;  Liu, Qingyu;  Ma, Yuanliang
Adobe PDF(1836Kb)  |  收藏  |  浏览/下载:159/0  |  提交时间:2018/10/23
Generalization Bound  Matrix Regularization  Multiple Kernel Learning (Mkl)  Support Vector Machine (Svm)