- [1] 期刊论文：
- [2] [1] W. Han, L. Wang*, R. Feng*, L. Gao, X. Chen, Z. Deng, J. Chen, and P. Liu, “Sample generation based on a supervised Wasserstein generative adversarial network for high-resolution remote-sensing scene classification”, Information Sciences, vol. 539, pp. 177-194, 2020.
- [3] [2] F. Li, R. Feng*, W. Han, L. Wang, “An augmentation attention mechanism for high-spatial-resolution remote sensing image scene classification”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), doi: 10.1109/JSTARS.2020.3006241, 2020. (SCI, IF=3.392)
- [4] [3] H. Li, R. Feng*, L. Wang, Y. Zhong, L. Zhang, “Superpixel-based reweighted low-rank and total variation sparse unmixing for hyperspectral remote sensing imagery”, IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.2994260, 2020. (SCI, IF=5.630)
- [5] [4] F. Li, R. Feng*, W. Han, and L. Wang, “High-resolution remote sensing image scene classification via key filter bank based on convolutional neural network”, IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.2987060, 2020. (SCI, IF=5.630)
- [6] [5] R. Feng, L. Wang*, Y. Zhong, “Joint local block grouping with noise-adjusted principal component analysis for hyperspectral remote sensing imagery sparse unmixing”, Remote Sensing, vol. 11, no. 10, pp. 1223, 2019. (SCI, IF=4.118)
- [7] [6] M. Song, Y. Zhong*, A. Ma, R. Feng, “Multiobjective sparse subpixel mapping for remote sensing imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 4490-4508, 2019. (SCI, IF=5.630)
- [8] [7] K. Xu, X. Wang, C. Kong*, R. Feng, G. Liu, C. Wu, “Identification of Hydrothermal Alteration Minerals for Exploring Gold Deposits Based on SVM and PCA Using ASTER Data: A Case Study of Gulong,” Remote Sensing, vol. 11, no. 24, pp. 3003, 2019. (SCI, IF=4.118)
- [9] [8] D. AL-Alimi, Y. Shao, R. Feng, M. A. Al-qaness, M. A. Elaziz, S. Kim*, “Multi-scale geospatial object detection based on shallow-deep feature extraction”, Remote Sensing, vol. 11, no. 21, pp. 2525, 2019. (SCI, IF=4.118)
- [10] [9] Z. Chen, Y. Wang, W. Han*, R. Feng*, J. Chen, “An Improved pretraining strategy-based scene classification with deep learning,” IEEE Geoscience and Remote Sensing Letters (GRSL), DOI: 10.1109 / LGRS.2019.2934341,2019. (SCI, IF=3.534)
- [11] [10] R. Feng, L. Wang*, Y. Zhong, “Least angle regression-based constrained sparse unmixing of hyperspectral remote sensing imagery”, Remote Sensing, vol. 10, no. 10, pp. 1546, 2018. (SCI, IF=4.118)
- [12] [11] R. Feng, Y. Zhong*, L. Wang*, and W. Lin*, “Rolling guidance based scale-aware spatial sparse unmixing for hyperspectral remote sensing imagery,” Remote Sensing, vol. 9, no. 12, pp. 1218, 2017. (SCI, IF=4.118)
- [13] [12] W. Han, R. Feng, L. Wang*, Y. Cheng, “A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 145, pp. 23–43, 2018. (SCI, IF=6.942)
- [14] [13] R. Feng, Y. Zhong*, X. Xu and L. Zhang, “Adaptive sparse subpixel mapping with a total variation model for remote sensing imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 5, pp. 2855–2872, 2016. (SCI, IF=5.630)
- [15] [14] R. Feng, Y. Zhong*, Y. Wu, D. He, X. Xu and L. Zhang, “Nonlocal total variation subpixel mapping for hyperspectral remote sensing imagery”, Remote Sensing, vol. 8, no. 3, pp. 250, 2016. (SCI, IF=4.118)
- [16] [15] R. Feng, Y. Zhong*, and L. Zhang, “Adaptive spatial regularization sparse unmixing strategy based on joint MAP for hyperspectral remote sensing imagery,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), vol. 9, no. 12, pp. 5791–5805, 2016. (SCI, IF=3.392)
- [17] [16] Y. Zhong*, X. Wang, L. Zhao, R. Feng, L. Zhang and Y. Xu, “Blind spectral unmixing based on sparse component analysis for hyperspectral remote sensing imagery,” ISPRS Journal of Photogrammetry and Remote Sensing, vol. 119, pp. 49–63, 2016. (SCI, IF=6.942)
- [18] [17] D. He, Y. Zhong*, R. Feng and L. Zhang, “Spatial-temporal subpixel mapping based on swarm intelligence theory”, Remote Sensing, vol. 8, no. 11, pp. 894, 2016. (SCI, IF=4.118)
- [19] [18] R. Feng, Y. Zhong* and L. Zhang, “An improved non-local sparse unmixing algorithm for hyperspectral imagery,” IEEE Geoscience and Remote Sensing Letters (GRSL), vol. 12, no. 4, pp. 915-918, 2015. (SCI, IF=3.534)
- [20] [19] R. Feng, Y. Zhong* and L. Zhang, “Adaptive non-local Euclidean medians sparse unmixing for hyperspectral imagery”, ISPRS Journal of Photogrammetry and Remote Sensing, vol. 97, pp. 9–24, 2014. (SCI, IF=6.942)