Yan Lu
Yan Lu
Virginia Modeling, Analysis and Simulation Center, Old Dominion University
Verified email at odu.edu
Cited by
Cited by
Semi-supervised classification of hyperspectral images based on extended label propagation and rolling guidance filtering
B Cui, X Xie, S Hao, J Cui, Y Lu
Remote Sensing 10 (4), 515, 2018
Deep learning with synthetic hyperspectral images for improved soil detection in multispectral imagery
Y Lu, D Perez, M Dao, C Kwan, J Li
Proceedings of the IEEE Ubiquitous Computing, Electronics & Mobile …, 2018
Combining Satellite Images with Feature Indices for Improved Change Detection
D Perez, Y Lu, C Kwan, Y Shen, K Koperski, J Li
IEEE Ubiquitous Computing, Electronics & Mobile Communication Conference, 2018
Extracting raft aquaculture areas from remote sensing images via an improved U-net with a PSE structure
B Cui, D Fei, G Shao, Y Lu, J Chu
Remote Sensing 11 (17), 2053, 2019
SOC Dynamic Power Management Using Artificial Neural Network
H Lu, Y Lu, Z Tang, S Wang
Advances in Natural Computation, Second International Conference, 555-564, 2006
Attack tolerant big data file system
BB Madan, Y Lu
ACM Sigmetrics Big Data Analytics Workshop, 2013
Deep learning for Land Cover Classification using only a few bands
C Kwan, B Ayhan, B Budavari, Y Lu, D Perez, J Li, S Bernabe, A Plaza
Remote Sensing 12 (12), 2000, 2020
Semantic segmentation of remote sensing images using transfer learning and deep convolutional neural network with dense connection
B Cui, X Chen, Y Lu
IEEE Access 8, 116744-116755, 2020
Vegetation Detection Using Deep Learning and Conventional Methods
B Ayhan, C Kwan, B Budavari, L Kwan, Y Lu, D Perez, J Li, D Skarlatos, ...
Remote Sensing 12 (15), 2502, 2020
Generative Adversarial Network for Improving Deep Learning Based Malware Classification
Y Lu, J Li
Proceedings of Winter Simulation Conference 2019, 2019
Data Augmentation with Generative Models for Improved Malware Detection: A Comparative Study*
R BurksKazi, A Islam, J Li, Y Lu
The IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile …, 2019
A Sparse Representation-Based Sample Pseudo-Labeling Method for Hyperspectral Image Classification
B Cui, J Cui, Y Lu, N Guo, M Gong
Remote Sensing 12 (4), 664, 2020
Hyperspectral image classification based on multiple kernel mutual learning
B Cui, L Zhong, B Yin, G Ren, Y Lu
Infrared Physics & Technology 99, 113-122, 2019
Deep Learning for Effective Refugee Tent Extraction Near Syria-Jordan Border
Y Lu, K Koperski, C Kwan, J Li
IEEE Geoscience and Remote Sensing Letters, 2020
Spectral-spatial hyperspectral image classification based on superpixel and multi-classifier fusion
B Cui, J Cui, S Hao, N Guo, Y Lu
International Journal of Remote Sensing 41 (16), 6157-6182, 2020
Deep Learning Based Malware Classification Using Deep Residual Network
Y Lu, J Graham, J Li
Proceeding of Modeling, Simulation and Visualization Student Capstone …, 2019
SANet: A Sea-land Segmentation Network via Adaptive Multi-Scale Feature Learning
B Cui, W Jing, L Huang, Z Li, Y Lu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Deep Learning for Remote Sensing Image Processing
Y Lu
WetlandNet: Semantic Segmentation for Remote Sensing Images of Coastal Wetlands via Improved UNet with Deconvolution
B Cui, Y Zhang, X Li, J Wu, Y Lu
International Conference on Genetic and Evolutionary Computing, 281-292, 2019
Research On System-Level Dynamic Power Management Using Learning Neural Networks
H Lu, Y Lu, Z Tang, S Wang
Internation Conference on Artificial Intelligence, 2006
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