| [1] | 方 旭, 王光辉, 杨化超, 等. 结合均值漂移分割与全卷积神经网络的高分辨遥感影像分类[J]. 激光与光电子学进展, 2018, 55(2):1-9. |
| [2] | 邓国徽, 高 飞, 罗志鹏. 基于改进的全卷积神经网络高分遥感数据语义分割研究[C]//第四届高分辨率对地观测学术年会论文集, 2017: 1-13. |
| [3] | Piramanayagam S. Classification of remote sensed images using random forests and deep learning framework[J]. Proceedings of the Spie, 2016, 4: 1-8 |
| [4] | Chen L C, Papandreou G, Kokkinos I, et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2016, 40(4): 834-848. |
| [5] | 夏 梦, 曹 国, 汪光亚, 等. 结合深度学习与条件随机场的遥感图像分类[J]. 中国图象图形学报, 2017, 22(9):1-13. |
| [6] | Ronneberger O, Fischer P, Brox T. U-Net: Convolutional Networks for Biomedical Image Segmentation[M]. Medical Image Computing and Computer-Assisted Intervention, 2015: 234-241. |
| [7] | 陈睿敏, 孙胜利. 基于深度学习的红外遥感信息自动提取[J]. 红外, 2017, 38(8):1-7. doi: 10.3969/j.issn.1672-8785.2017.08.001 |
| [8] | Li R, Liu W, Yang L, et al. DeepUNet: A Deep Fully Convolutional Network for Pixel-level Sea-Land Segmentation[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2018: 1-9. |
| [9] | Cao Q, Zhong Y, Ma A, et al. Urban Land Use/Land Cover Classification Based on Feature Fusion Fusing Hyperspectral Image and Lidar Data[C]//IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018: 8869-8872. |
| [10] | 郝建亭, 杨武年, 李玉霞, 等. 基于FLAASH的多光谱影像大气校正应用研究[J]. 遥感信息, 2008(1):78-81. doi: 10.3969/j.issn.1000-3177.2008.01.015 |
| [11] | 高永年, 张万昌. 遥感影像地形校正研究进展及其比较实验[J]. 地理研究, 2008, 27(2):467-477. doi: 10.3321/j.issn:1000-0585.2008.02.024 |
| [12] | 刘怡君, 庞 勇, 廖声熙, 等. 机载LiDAR和高光谱融合实现普洱山区树种分类[J]. 林业科学研究, 2016, 29(3):407-412. doi: 10.3969/j.issn.1001-1498.2016.03.015 |
| [13] | 任 冲, 鞠洪波, 张怀清, 等. 天水市近30年林地动态变化遥感监测研究[J]. 林业科学研究, 2017, 30(1):25-33. |