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- [22] 会议论文:
- [23] [1] H. Li, R. Feng, L. Wang, Y. Zhong, and L. Zhang, “Superpixel-based spatial constraints sparse unmixing for hyperspectral remote sensing imagery,” IGARSS 2020.
- [24] [2] J. Bai, R. Feng, L. Wang, H. Li, F. Li, Y. Zhong, and L. Zhang, “Semi-supervised hyperspectral unmixing with very deep convolutional neural network,” IGARSS 2020.
- [25] [3] W. Han, R. Feng, L. Wang, F. Li, and L. Wu, “A multi-stage network for improving the sample quality in Aerial image object detection,” IGARSS 2020.
- [26] [4] J. Chen, R. Feng, L. Wang, W. Han, and J. Huang, “Multi-level strategy-based spatial information prediction for spatiotemporal remote sensing imagery fusion,” IGARSS 2020.
- [27] [5] L. Cheng, L. Wang, and R. Feng, “Fractal characteristics and evolution of urban land-use: a case study in Shenzhen city,” IGARSS 2020.
- [28] [6] Y. Wan, Y. Zhong, A. Ma, J. Wang, L. Zhang, and R. Feng, “RSSM-net: Remote sensing image scene classification based on multi-objective neural architecture search,” IGARSS 2020.
- [29] [7] R. Feng, L. Wang and Y. Zhong, “Local block grouping with NAPCA spatial preprocessing for hyperspectral remote sensing imagery sparse unmixing,” in Proc. 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 28-August 2, 2019, Yokohama, Japan.
- [30] [8] Z. Liu, R. Feng, L. Wang, Y. Zhong and L. Cao, “D-RESUNET: ResUNet and dilated convolution for high resolution satellite imagery road extraction," in Proc. 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 28-August 2, 2019, Yokohama, Japan.
- [31] [9] W. Han, R. Feng, L. Wang and J. Chen, “Supervised generative adversarial network based sample generation for scene classification,” in Proc. 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 28-August 2, 2019, Yokohama, Japan.
- [32] [10] R. Fan, L. Wang, R. Feng and Y. Zhu, “Attention based residual network for high-Resolution remote sensing imagery scene classification,” in Proc. 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 28-August 2, 2019, Yokohama, Japan.
- [33] [11] Z. Chu, T. Tian, R. Feng and L. Wang, “Sea-land segmentation with RES-UNET and fully connected CRF,” in Proc. 2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 28-August 2, 2019, Yokohama, Japan.
- [34] [12] R. Feng, T. Tian, X. Li and K. Sun, “Rolling guidance based scaled-aware spatial sparse unmixing for hyperspectral remote sensing imagery,” in Proc. 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 22-27, 2018, Valencia, Spain.
- [35] [13] W. Han, R. Feng, L. Wang and L. Gao, “Adaptive Spatial-Scale-Aware Deep Convolutional Neural Network for High-Resolution Remote Sensing Imagery Scene Classification,” in Proc. 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 22-27, 2018, Valencia, Spain.
- [36] [14] R. Feng, L. Wang, Y. Zhong and L. Zhang, “Differentiable sparse unmixing based on Bregman divergence for hyperspectral remote sensing imagery,” in Proc. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July23-28, 2017, Fort Worth, TX, USA.
- [37] [15] X. Han, Y. Zhong, R. Feng and L. Zhang, “Robust geospatial object detection based on pre-trained faster R-CNN framework for high spatial resolution imagery,” in Proc. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 23-28, 2017, Fort Worth, TX, USA.
- [38] [16] R. Feng, D. He, Y. Zhong and L. Zhang, “Sparse representation based subpixel information extraction framework for hyperspectral remote sensing imagery,” in Proc. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 10–15, 2016, Beijing, China.
- [39] [17] R. Feng, Y. Zhong and L. Zhang, “Complete dictionary online learning for sparse unmixing,” in Proc. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 10–15, 2016, Beijing, China.
- [40] [18] Y. Zhong, Y. Wu, R. Feng, X. Xu and L. Zhang, “Non-local sub-pixel mapping for hyperspectral imagery,” in Proc. 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), June 2-5, 2015, Tokyo, Japan.