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ORCIDLin He 0001
Person information
- affiliation: South China University of Technology, School of Automation Science and Technology, Guangzhou, China
- affiliation (PhD 2007): Northwestern Polytechnical University, School of Automation, Xi'an, China
Other persons with the same name
- Lin He — disambiguation page
- Lin He 0002 — City University of Hong Kong, Department of Computer Science, Hong Kong (and 1 more)
- Lin He 0003 — University of Science and Technology of China, Department of Electronic Science and Technology, Micro-/Nano-Electronic System Integration Center, Hefei, China (and 3 more)
- Lin He 0004
![[0000-0002-7348-5833]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7348-5833")
— Tsinghua University, Institute for Network Sciences and Cyberspace, Beijing, China (and 1 more) - Lin He 0005 — National University of Defense Technology, College of Aerospace Science and Engineering, Changsha, China
- Lin He 0006 — Broadcom Corp., Irvine, CA, USA (and 2 more)
- Lin He 0007 — Shanghai Jiao Tong University, Bio-X Institutes, Shanghai, China (and 2 more)
- Lin He 0008 — Marquette University, Department of Math, Stats & Computer Science, Milwaukee, WI, USA
- Lin He 0009 — Nanjing Agricultural University, Department of Information Management, Nanjing, China
- Lin He 0010 — Austrian Academy of Sciences, Johann Radon Institute for Computational and Applied Mathematics, Linz, Austria (and 1 more)
- Lin He 0011 — Hefei University of Technology, Automotive Research Institute, Hefei, China
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2020 – today
- 2024
[j30]Lin He, Hanghui Ye, Dahan Xi, Jun Li, Antonio Plaza, Mei Zhang:
Tree-Structured Neural Network for Hyperspectral Pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 2516-2530 (2024)- [j29]Lin He, Zhou Fang, Jun Li, Jocelyn Chanussot, Antonio Plaza:
Two Spectral-Spatial Implicit Neural Representations for Arbitrary-Resolution Hyperspectral Pansharpening. IEEE Trans. Geosci. Remote. Sens. 62: 1-21 (2024) - 2023
- [j28]Jianming Xu, Yunfei Li, Qian Shi, Lin He:
Occluded Scene Classification via Cascade Supervised Contrastive Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4565-4578 (2023) - [j27]Lin He, Xinyi Li, Xinguo He, Jun Li, Shuang Song, Antonio Plaza:
VSP-Based Warping for Stitching Many UAV Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j26]Lin He, Dahan Xi, Jun Li, Honghao Lai, Antonio Plaza, Jocelyn Chanussot:
Dynamic Hyperspectral Pansharpening CNNs. IEEE Trans. Geosci. Remote. Sens. 61: 1-19 (2023) - [c13]Hanghui Ye, Lin He:
Asymmetric-Scale Arbitrary Resolution Pansharpening CNN for Hyperspectral Images. WHISPERS 2023: 1-4 - 2022
- [j25]Yunfei Li, Qian Shi, Lin He, Runlin Cai, Liangli Meng, Jun Li, Antonio Plaza:
Fusing Sentinel-2 and Landsat-8 Surface Reflectance Data via Pixel-Wise Local Normalization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7359-7374 (2022) - [j24]Lin He, Jiawei Zhu, Jun Li, Antonio Plaza, Jocelyn Chanussot, Zhuliang Yu:
CNN-Based Hyperspectral Pansharpening With Arbitrary Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-21 (2022) - [j23]Lin He, Jinhua Xie, Jun Li, Antonio Plaza, Jocelyn Chanussot, Jiawei Zhu:
Variable Subpixel Convolution Based Arbitrary-Resolution Hyperspectral Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j22]Yunfei Li, Runlin Cai, Jun Li, Zhenjie Liu, Liangli Meng, Lin He:
Pansharpening-Based Spatio-Temporal Fusion for Predicting Intense Surface Changes. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j21]Jun Li, Yunfei Li, Runlin Cai, Lin He, Jin Chen, Antonio Plaza:
Enhanced Spatiotemporal Fusion via MODIS-Like Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [c12]Jinhua Xie, Lin He:
Two-Stage Fusion based CNN for Hyperspectral Pansharpening. IGARSS 2022: 1091-1094 - [c11]Yingqi Li, Lin He:
An Improved Object Detection CNN Module for Remote Sensing Images. IGARSS 2022: 1173-1176 - [c10]Honghao Lai, Lin He, Dahan Xi:
Spectrally Coarse-To-Fine Pansharpening For Hyperspectral Images. WHISPERS 2022: 1-4 - [c9]Dahan Xi, Lin He, Honghao Lai:
Adaptive Multi-Stage Pansharpening CNN for Hyperspectral Images. WHISPERS 2022: 1-4 - 2021
- [j20]Chenying Liu, Jun Li, Lin He, Antonio Plaza, Shutao Li, Bo Li:
Naive Gabor Networks for Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 32(1): 376-390 (2021) - 2020
- [j19]Jun Li, Yunfei Li, Lin He, Jin Chen, Antonio Plaza:
Spatio-temporal fusion for remote sensing data: an overview and new benchmark. Sci. China Inf. Sci. 63(4) (2020) - [j18]Yunfei Li, Jun Li, Lin He, Jin Chen, Antonio Plaza:
A new sensor bias-driven spatio-temporal fusion model based on convolutional neural networks. Sci. China Inf. Sci. 63(4) (2020) - [j17]Xiao-Xin Li, Pengyi Hao, Lin He, Yuanjing Feng:
Image gradient orientations embedded structural error coding for face recognition with occlusion. J. Ambient Intell. Humaniz. Comput. 11(6): 2349-2367 (2020) - [j16]Lin He, Jiawei Zhu, Jun Li, Deyu Meng, Jocelyn Chanussot, Antonio Plaza:
Spectral-Fidelity Convolutional Neural Networks for Hyperspectral Pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5898-5914 (2020) - [j15]Lin He, Chenying Liu, Jun Li, Yuanqing Li, Shutao Li, Zhuliang Yu:
Hyperspectral Image Spectral-Spatial-Range Gabor Filtering. IEEE Trans. Geosci. Remote. Sens. 58(7): 4818-4836 (2020)
2010 – 2019
- 2019
- [j14]Han Liu, Jun Li, Lin He, Yu Wang:
Superpixel-Guided Layer-Wise Embedding CNN for Remote Sensing Image Classification. Remote. Sens. 11(2): 174 (2019) - [j13]Chenying Liu, Jun Li, Lin He:
Superpixel-Based Semisupervised Active Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(1): 357-370 (2019) - [j12]Lin He, Yizhou Rao, Jun Li, Jocelyn Chanussot, Antonio Plaza, Jiawei Zhu, Bo Li:
Pansharpening via Detail Injection Based Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(4): 1188-1204 (2019) - [j11]Lin He, Jiawei Zhu, Jun Li, Antonio Plaza, Jocelyn Chanussot, Bo Li:
HyperPNN: Hyperspectral Pansharpening via Spectrally Predictive Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(8): 3092-3100 (2019) - [i1]Chenying Liu, Jun Li, Lin He, Antonio J. Plaza, Shutao Li, Bo Li:
Naive Gabor Networks. CoRR abs/1912.03991 (2019) - 2018
- [j10]Xiaoxin Li, Jingjing Li, Lin He, Zhiyong Liu:
基于噪声空间结构嵌入和高维梯度方向嵌入的鲁棒人脸识别方法 (Robust Face Recognition via Noise Spatial Structure Embedding and High Dimensional Gradient Orientation Embedding). 计算机科学 45(4): 285-290 (2018) - [j9]Jie Hu, Zhi He, Jun Li, Lin He, Yiwen Wang:
3D-Gabor Inspired Multiview Active Learning for Spectral-Spatial Hyperspectral Image Classification. Remote. Sens. 10(7): 1070 (2018) - [j8]Chenying Liu, Lin He, Zhetao Li, Jun Li:
Feature-Driven Active Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(1): 341-354 (2018) - [j7]Lin He, Jun Li, Chenying Liu, Shutao Li:
Recent Advances on Spectral-Spatial Hyperspectral Image Classification: An Overview and New Guidelines. IEEE Trans. Geosci. Remote. Sens. 56(3): 1579-1597 (2018) - 2017
- [j6]Xiao-Xin Li, Lin He, Pengyi Hao, Zhiyong Liu, Jingjing Li:
Adaptive Weberfaces for occlusion-robust face representation and recognition. IET Image Process. 11(11): 964-975 (2017) - [j5]Lin He, Jun Li, Antonio Plaza, Yuanqing Li:
Discriminative Low-Rank Gabor Filtering for Spectral-Spatial Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(3): 1381-1395 (2017) - [c8]Han Liu, Lin He, Jun Li:
Remote sensing image classification based on convolutional neural networks with two-fold sparse regularization. IGARSS 2017: 992-995 - 2016
- [c7]Lin He, Yizhou Rao:
Random subspace based sparse representation for hyperspectral image classification. IGARSS 2016: 2454-2456 - [c6]Jie Hu, Chenying Liu, Lin He, Jun Li:
Gabor-based active learning for hyperspectral image classification. IGARSS 2016: 2457-2460 - [c5]Lin He, Xianjun Chen:
A three-dimensional filtering method for spectral-spatial hyperspectral image classification. IGARSS 2016: 2746-2748 - 2015
- [j4]Lin He, Yuanqing Li, Xiaoxin Li, Wei Wu:
Spectral-Spatial Classification of Hyperspectral Images via Spatial Translation-Invariant Wavelet-Based Sparse Representation. IEEE Trans. Geosci. Remote. Sens. 53(5): 2696-2712 (2015) - 2013
- [j3]Lin He, Youpan Hu, Yuanqing Li, Daoli Li:
Channel selection by Rayleigh coefficient maximization based genetic algorithm for classifying single-trial motor imagery EEG. Neurocomputing 121: 423-433 (2013) - [j2]Lin He, Zhuliang Yu, Zhenghui Gu, Yuanqing Li:
Long-tail distribution based multiscale-multiband autoregressive detection for hyperspectral imagery. Multidimens. Syst. Signal Process. 24(1): 65-85 (2013) - 2012
- [c4]Lin He, Weitong Ruan, Yuanqing Li:
Sparse representation based hyperspectral imagery classification via expanded dictionary. WHISPERS 2012: 1-4 - 2011
- [c3]Lin He, Zhuliang Yu, Zhenghui Gu, Yuanqing Li:
Elliptical symmetric distribution based maximal margin classification for hyperspectral imagery. ACPR 2011: 427-430 - 2010
- [c2]Lin He, Zhenghui Gu, Yuanqing Li, Zhuliang Yu:
Classifying Motor Imagery EEG Signals by Iterative Channel Elimination according to Compound Weight. AICI (2) 2010: 71-78 - [c1]Lin He, Zhenghui Gu, Yuanqing Li, Zhuliang Yu:
Feature extraction with multiscale autoregression of multichannel time series for P300 speller BCI. ICASSP 2010: 610-613
2000 – 2009
- 2008
- [j1]Lin He, Quan Pan, Wei Di, Yuanqing Li:
Anomaly detection in hyperspectral imagery based on maximum entropy and nonparametric estimation. Pattern Recognit. Lett. 29(9): 1392-1403 (2008)
Coauthor Index
aka: Antonio J. Plaza
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