[1] FU Y, ZHANG Y M, YU X. An advanced sense and collision avoidance strategy for unmanned aerial vehicles in landing phase[J].IEEE Aerospace and Electronic Systems Magazine, 2016, 31(9):40-52. [2] 郑攀.小型无人机在公共安全领域的应用前景展望[J].警察技术,2013(4):53-55.(ZHENG P. Application prospect of small UAV in public security[J]. Police Technology, 2013, 4(1):53-55.) [3] 李世秋.无人自转旋翼机现状及在军事领域的应用研究[J].飞航导弹,2014(1):49-53.(LI S Q. The situation of unmanned rotorcraft and its application in military field[J]. Aerodynamic Missile Journal, 2014(1):49-53.) [4] LOWE D G. Distinctive image features from scale-invariant key points[J]. International Journal of Computer Vision,2004, 60(2):91-110. [5] DALAL N, TRIGGS B. Histograms of oriented gradients for human detection[C]//Proceedings of the 2005 IEEE Conference on Computer Vision and Pattern Recognition Workshops. Washington, DC:IEEE Computer Society, 2005:886-893. [6] OJALA T, PIETIKAINEN M, MAENPA T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(7):971-987. [7] OLIVA A, TORRALBA A. Building the gist of a scene:the role of global image features in recognition[J]. Progress in Brain Research, 2006, 155(2):23-36. [8] LAZEBNIK S, SCHMID C, PONCE J. Beyond bags of features:spatial pyramid matching for recognizing natural scene categories[C]//CVPR'06:Proceedings of the 2006 IEEE Conference on Computer Vision and Pattern Recognition Workshops. Washington, DC:IEEE Computer Society, 2006:2169-2178. [9] LI T, MEI T, KWEON I S, et al. Contextual bag-of-words for visual categorization[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2011, 21(4):381-392. [10] FERNANDO B, FROMONT E, MUSELET D, et al. Supervised learning of Gaussian mixture models for visual vocabulary generation[J]. Pattern Recognition, 2012, 45(2):897-907. [11] 顾广华,韩晰瑛,陈春霞,等.图像场景语义分类研究进展综述[J].系统工程与电子技术,2016,38(4):936-948.(GU G H, HAN X Y, CHEN C X, et al. Survey on semantic scene classification research[J]. Systems Engineering and Electronics, 2016, 38(4):936-948.) [12] 赵理君,唐娉,霍连志,等.图像场景分类中视觉词包模型方法综述[J].中国图象图形学报,2014,19(3):333-343.(ZHAO L J, TANG P, HUO L Z, et al. Review of the bag-of-visual-words models in image scene classification[J]. Journal of Image and Graphics, 2014, 19(3):333-343.) [13] KOSKELA M, LAAKSONEN J. Convolutional network features for scene recognition[C]//MM'14:Proceedings of the 2014 ACM International Conference on Multimedia. New York:ACM, 2014:1169-1172. [14] ZHOU B, LAPEDRIZA A, XIAO J X, et al. Learning deep features for scene recognition using places database[C]//NIPS'14:Proceedings of the 27th International Conference on Neural Information Processing Systems. Cambridge, MA:MIT Press, 2014:487-495. [15] AZIZPOUR H, RAZAVIAN A S,SULLIVAN J, et al. From generic to specific deep representation for visual recognition[C]//Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops. Washington, DC:IEEE Computer Society, 2014:36-45. [16] CIRESAN D C, MEIER U, MASCI J, et al. Flexible, high performance convolutional neural networks for image classification[C]//Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Menlo Park, CA:AAAI Press, 2011:1237-1242. [17] 徐珊珊.卷积神经网络研究与应用[D].南京:南京林业大学,2013:20-22.(XU S S. Research and application of convolution neural network[D]. Nanjing:Nanjing Forestry University, 2013:20-22.) [18] ZUO Z, WANG G, SHUAI B, et al. Exemplar based deep discriminative and shareable feature learning for scene image classification[J]. Pattern Recognition, 2015, 48(10):3004-3015. [19] WU J X, REHG J M. CENTRIST:a visual descriptor for scene categorization[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8):1489-1501. [20] XIAO J X, HAYS J, EHINGER K A, et al. SUN database:large-scale scene recognition from abbey to zoo[C]//Proceedings of the 2010 IEEE Conference on Computer Vision and Pattern Recognition Workshops. Washington, DC:IEEE Computer Society, 2010:3485-3492. |