Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework X Yu, X Wu, C Luo, P Ren GIScience & Remote Sensing 54 (5), 741-758, 2017 | 280 | 2017 |
Multiscale visual attention networks for object detection in VHR remote sensing images C Wang, X Bai, S Wang, J Zhou, P Ren IEEE Geoscience and Remote Sensing Letters 16 (2), 310-314, 2018 | 184 | 2018 |
Inspection robots in oil and gas industry: a review of current solutions and future trends L Yu, E Yang, P Ren, C Luo, G Dobie, D Gu, X Yan 2019 25th International Conference on Automation and Computing (ICAC), 1-6, 2019 | 93 | 2019 |
Graph characterization via ihara coefficients P Ren, RC Wilson, ER Hancock IEEE Transactions on Neural Networks 22 (2), 233-245, 2010 | 93 | 2010 |
Partial randomness hashing for large-scale remote sensing image retrieval P Li, P Ren IEEE Geoscience and Remote Sensing Letters 14 (3), 464-468, 2017 | 73 | 2017 |
Hashing nets for hashing: A quantized deep learning to hash framework for remote sensing image retrieval P Li, L Han, X Tao, X Zhang, C Grecos, A Plaza, P Ren IEEE Transactions on Geoscience and Remote Sensing 58 (10), 7331-7345, 2020 | 65 | 2020 |
Deep adversarial learning in intrusion detection: A data augmentation enhanced framework H Zhang, X Yu, P Ren, C Luo, G Min arXiv preprint arXiv:1901.07949, 2019 | 63 | 2019 |
Quantum walks, Ihara zeta functions and cospectrality in regular graphs P Ren, T Aleksić, D Emms, RC Wilson, ER Hancock Quantum Information Processing 10, 405-417, 2011 | 63 | 2011 |
Autonomous detection of damage to multiple steel surfaces from 360 panoramas using deep neural networks C Luo, L Yu, J Yan, Z Li, P Ren, X Bai, E Yang, Y Liu Computer‐Aided Civil and Infrastructure Engineering 36 (12), 1585-1599, 2021 | 60 | 2021 |
Region-wise deep feature representation for remote sensing images P Li, P Ren, X Zhang, Q Wang, X Zhu, L Wang Remote Sensing 10 (6), 871, 2018 | 53 | 2018 |
A vision-aided approach to perching a bioinspired unmanned aerial vehicle C Luo, L Yu, P Ren IEEE Transactions on Industrial Electronics 65 (5), 3976-3984, 2017 | 51 | 2017 |
Aerial image super resolution via wavelet multiscale convolutional neural networks T Wang, W Sun, H Qi, P Ren IEEE Geoscience and Remote Sensing Letters 15 (5), 769-773, 2018 | 49 | 2018 |
Data-dependent hashing based on p-stable distribution X Bai, H Yang, J Zhou, P Ren, J Cheng IEEE Transactions on Image Processing 23 (12), 5033-5046, 2014 | 49 | 2014 |
Oil Spill Segmentation via Adversarial-Divergence Learning X Yu, H Zhang, C Luo, H Qi, P Ren IEEE Transactions on Geoscience and Remote Sensing 56 (9), 4973-4988, 2018 | 48 | 2018 |
Object classification via feature fusion based marginalized kernels X Bai, C Liu, P Ren, J Zhou, H Zhao, Y Su IEEE Geoscience and Remote Sensing Letters 12 (1), 8-12, 2014 | 43 | 2014 |
A vessel azimuth and course joint re-estimation method for compact HFSWR W Sun, W Huang, Y Ji, Y Dai, P Ren, P Zhou, X Hao IEEE Transactions on Geoscience and Remote Sensing 58 (2), 1041-1051, 2019 | 42 | 2019 |
Conjugate gradient-based Takagi-Sugeno fuzzy neural network parameter identification and its convergence analysis T Gao, Z Zhang, Q Chang, X Xie, P Ren, J Wang Neurocomputing 364, 168-181, 2019 | 38 | 2019 |
Quantum kernels for unattributed graphs using discrete-time quantum walks L Bai, L Rossi, L Cui, Z Zhang, P Ren, X Bai, E Hancock Pattern Recognition Letters 87, 96-103, 2017 | 35 | 2017 |
Cohesion intensive deep hashing for remote sensing image retrieval L Han, P Li, X Bai, C Grecos, X Zhang, P Ren Remote Sensing 12 (1), 101, 2019 | 34 | 2019 |
Oil spill detection with multiscale conditional adversarial networks with small-data training Y Li, X Lyu, AC Frery, P Ren Remote Sensing 13 (12), 2378, 2021 | 33 | 2021 |