[1] BRATASANU D, NEDELCU I, DATCU M. Bridging the semantic gap for satellite image annotation and automatic mapping applications[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2011, 4(1): 193-204. [2] 郑歆慰,胡岩峰,孙显,等. 基于空间约束多特征联合稀疏编码的遥感图像标注方法研究[J]. 电子与信息学报, 2014, 36(8): 1891-1898. [3] LINOU M, MATRE H, DATCU M. Semantic annotation of satellite images using latent dirichlet allocation[J]. Geoscience and Remote Sensing Letters, 2010, 7(1): 28-32. [4] LUO W, LI H L, LIU G H. Automatic annotation of multispectral satellite images using author-topic model[J]. Geoscience and Remote Sensing Letters, 2012, 9(4): 634-638. [5] LUO W, LI H L, LIU G H, et al. Semantic annotation of satellite images using author-genre-topic model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(2): 1356-1368. [6] CHEN K M, JIAN P, ZHOU Z X, et al. Semantic annotation of high-resolution remote sensing images via Gaussian process multi-instance multilabel learning[J]. Geoscience and Remote Sensing Letters, 2013, 10(6): 1285-1289. [7] WEI Y C, XIA W, HUANG J S, et al. CNN: Single-label to multi-label[J]. Computer Science, 2014: arXiv:1406.5726. [8] 杨阳, 张文生. 基于深度学习的图像自动标注算法[J]. 数据采集与处理, 2015, 30(1): 88-98. [9] 吕启, 窦勇, 牛新,等. 基于DBN模型的遥感图像分类[J]. 计算机研究与发展, 2014, 51(9): 1911-1918. [10] 高常鑫, 桑农. 基于深度学习的高分辨率遥感影像目标检测[J]. 测绘通报, 2014, (S1):108-111. [11] 黄志坚,黎湘,徐帆江. 基于视觉复杂度的自适应尺度遥感影像分割[J]. 电子与信息学报, 2013, 35(8): 1786-1792. [12] 葛永,吴秀清,洪日昌. 基于多示例学习的遥感图像检索[J]. 中国科学技术大学学报, 2009, 39(2): 132-136. GE Y, WU X Q, HONG R C. Remote sensing image retrieval based on multiple instance learning[J]. Journal of University of Science and Technology of China, 2009, 39(2): 132-136.
[13] HINTON G E, SALAKHUTDINOV R R. Reducing the dimensionality of data with neural networks[J]. Science, 2006, 313(5786): 504-507. [14] YANG Y, NEWSAM S. Bag-of-visual-words and spatial extensions for land-use classification[C]// Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems. San Jose, USA: ACM Press, 2010: 270-279. [15] CHANG C C, LIN C J. LIBSVM: A library for support vector machines[J]. ACM Transactions on Intelligent Systems and Technology, 2011, 2(3): 1-27. |