| Multilevel cloud detection in remote sensing images based on deep learning F Xie, M Shi, Z Shi, J Yin, D Zhao IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2017 | 266 | 2017 |
| Haze removal for a single remote sensing image based on deformed haze imaging model X Pan, F Xie, Z Jiang, J Yin IEEE Signal Processing Letters 22 (10), 1806-1810, 2015 | 123 | 2015 |
| Cloud detection of remote sensing images by deep learning M Shi, F Xie, Y Zi, J Yin 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 112 | 2016 |
| A new dimensionality reduction algorithm for hyperspectral image using evolutionary strategy J Yin, Y Wang, J Hu IEEE Transactions on Industrial Informatics 8 (4), 935-943, 2012 | 79 | 2012 |
| DeepLearningEnabled Fast Optical Identification and Characterization of 2D Materials B Han, Y Lin, Y Yang, N Mao, W Li, H Wang, K Yasuda, X Wang, V Fatemi, ... Advanced Materials 32 (29), 2000953, 2020 | 67 | 2020 |
| Hyperspectral image classification using CapsNet with well-initialized shallow layers J Yin, S Li, H Zhu, X Luo IEEE Geoscience and Remote Sensing Letters 16 (7), 1095-1099, 2019 | 59 | 2019 |
| Asymmetric hot-carrier thermalization and broadband photoresponse in graphene-2D semiconductor lateral heterojunctions Y Lin, Q Ma, PC Shen, B Ilyas, Y Bie, A Liao, E Ergeçen, B Han, N Mao, ... Science advances 5 (6), eaav1493, 2019 | 50 | 2019 |
| Using Hurst and Lyapunov exponent for hyperspectral image feature extraction J Yin, C Gao, X Jia IEEE Geoscience and remote sensing letters 9 (4), 705-709, 2012 | 47 | 2012 |
| Information-assisted density peak index for hyperspectral band selection X Luo, R Xue, J Yin IEEE Geoscience and Remote Sensing Letters 14 (10), 1870-1874, 2017 | 37 | 2017 |
| Crater detection based on gist features J Yin, H Li, X Jia IEEE Journal of selected topics in applied earth observations and remote …, 2014 | 36 | 2014 |
| Wavelet packet analysis and gray model for feature extraction of hyperspectral data J Yin, C Gao, X Jia IEEE Geoscience and Remote Sensing Letters 10 (4), 682-686, 2012 | 36 | 2012 |
| Optimal band selection for hyperspectral image classification based on inter-class separability J Yin, Y Wang, Z Zhao 2010 Symposium on Photonics and Optoelectronics, 1-4, 2010 | 34 | 2010 |
| Sparse representation over discriminative dictionary for stereo matching J Yin, H Zhu, D Yuan, T Xue Pattern Recognition 71, 278-289, 2017 | 33 | 2017 |
| Joint spatial–spectral attention network for hyperspectral image classification L Li, J Yin, X Jia, S Li, B Han IEEE geoscience and remote sensing letters 18 (10), 1816-1820, 2020 | 28 | 2020 |
| Blind source separation with nonlinear autocorrelation and non-Gaussianity Z Shi, Z Jiang, F Zhou, J Yin Journal of computational and applied mathematics 229 (1), 240-247, 2009 | 27 | 2009 |
| Sparse analysis based on generalized Gaussian model for spectrum recovery with compressed sensing theory J Yin, J Sun, X Jia IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 24 | 2014 |
| Free search with adaptive differential evolution exploitation and quantum-inspired exploration J Yin, Y Wang, J Hu Journal of Network and Computer Applications 35 (3), 1035-1051, 2012 | 20 | 2012 |
| Few-shot learning with attention-weighted graph convolutional networks for hyperspectral image classification X Tong, J Yin, B Han, H Qv 2020 IEEE International Conference on Image Processing (ICIP), 1686-1690, 2020 | 19 | 2020 |
| Segment-oriented depiction and analysis for hyperspectral image data J Yin, H Qv, X Luo, X Jia IEEE Transactions on Geoscience and Remote Sensing 55 (7), 3982-3996, 2017 | 16 | 2017 |
| Band dual density discrimination analysis for hyperspectral image classification H Qv, J Yin, X Luo, X Jia IEEE Transactions on Geoscience and Remote Sensing 56 (12), 7257-7271, 2018 | 15 | 2018 |
