|
费运巧, 刘文萍, 陆鹏飞, 等. 基于无人机图像分形特征的油松受灾级别判定. 计算机应用研究, 2017a, 34 (4): 1253- 1256.
|
|
Fei Y Q , Liu W P , Lu P F , et al. Judgment on disaster classification of Chinese pine based on fractal features in UAV image. Applocation Research of Cmputers, 2017a, 34 (4): 1253- 1256.
|
|
费运巧, 刘文萍, 骆有庆, 等. 森林病虫害监测中的无人机图像分割算法比较. 计算机工程与应用, 2017b, 53 (8): 216- 223.
|
|
Fei Y Q , Liu W P , Luo Y Q , et al. Comparison of algorithms for unmanned aerial vehicle image segmentation in monitoring forest diseases and insect pests. Computer Engineering and Applications, 2017b, 53 (8): 216- 223.
|
|
林志玮, 丁启禄, 涂伟豪, 等. 基于多元HoG及无人机航拍图像的植被类型识别. 森林与环境学报, 2018, 38 (4): 444- 450.
|
|
Lin Z W , Ding Q L , Tu W H , et al. Vegetation type recognition based on multivariate HoG and aerial image captured by UAV. Journal of Forest and Environment, 2018, 38 (4): 444- 450.
|
|
吕晓君, 王君, 喻卫国, 等. 无人机监测林业有害生物初探. 湖北林业科技, 2016, 45 (4): 30- 33.
doi: 10.3969/j.issn.1004-3020.2016.04.008
|
|
Lü X J , Wang J , Yu W G , et al. Study on monitoring forest pests and diseases by unmanned aerial vehicle. Hubei Forestry Science and Technology, 2016, 45 (4): 30- 33.
doi: 10.3969/j.issn.1004-3020.2016.04.008
|
|
吴建功, 赵明梅, 张长明, 等. 红脂大小蠹对油松的危害及越冬前后干、根部分布调查. 中国森林病虫, 2002, 21 (3): 38- 41.
doi: 10.3969/j.issn.1671-0886.2002.03.016
|
|
Wu J G , Zhao M M , Zhang C M , et al. Damage of Dendroctonus valens on Pinus tabulaeformis and its distribution on trunk and root before and after overwintering period. Forest Pest and Disease, 2002, 21 (3): 38- 41.
doi: 10.3969/j.issn.1671-0886.2002.03.016
|
|
Baeta R , Nogueira K , Menotti D , et al. Learning deep features on multiple scales for coffee crop recognition. 201730th SIBGRAPI Conference on Graphics, Patterns and Images(SIBGRAPI). Niteroi, Brazil, 2017,
|
|
Chen L C , Papandreou G , Kokkinos I , et al. Deeplab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 40 (4): 834- 848.
doi: 10.1109/TPAMI.2017.2699184
|
|
Everingham M , Eslami S M A , Gool L V , et al. The pascal visual object classes challenge: A retrospective. International Journal of Computer Vision, 2015, 111 (1): 98- 136.
doi: 10.1007/s11263-014-0733-5
|
|
Gambella F , Sistu L , Piccirilli D , et al. Forest and UAV: a bibliometric review. Contemporany Engineering Sciences, 2016, 9, 1359- 1370.
doi: 10.12988/ces.2016.68130
|
|
Guirado E , Tabik S , Alcaraz-Segura D , et al. Deep-learning versus OBIA for scattered shrub detection with Google earth imagery: Ziziphus lotus as case study. Remote Sensing, 2017, 9 (12): 1220.
doi: 10.3390/rs9121220
|
|
He K , Zhang X , Ren S , et al. Deep residual learning for image recognition(CVPR). Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, America, 2016,
|
|
Ioffe S , Szegedy C . Batch normalization: accelerating deep network training by reducing internal covariate shift. Proceedings of the 32nd International Conference on International Conference on Machine Learning, 2015, 37, 448- 456.
|
|
Koc-San D , Selim S , Aslan N , et al. Automatic citrus tree extraction from UAV images and digital surface models using circular Hough transform. Computers and Electronics in Agriculture, 2018, 150, 289- 301.
doi: 10.1016/j.compag.2018.05.001
|
|
Li W , Fu H , Yu L , et al. Deep learning based oil palm tree detection and counting for high-resolution remote sensing images. Remote Sensing, 2016, 9 (1): 22.
doi: 10.3390/rs9010022
|
|
Li Z, Zhou F. 2017. FSSD: feature fusion single shot multibox detector. arXiv preprint arXiv: 1712. 00960. https://arxiv.org/abs/1712.00960.
|
|
Lin T Y , Maire M , Belongie S , et al. Microsoft COCO: common objects in context. European Conference on Computer Vision(ECCV), Zurich, Switzerland, 2014,
|
|
Liu S , Huang D . Receptive field block net for accurate and fast object detection. Proceedings of the European Conference on Computer Vision(ECCV), Munich, German, 2018,
|
|
Liu W , Anguelov D , Erhan D , et al. SSD: Single shot multibox detector. European Conference on Computer Vision(ECCV), Amsterdam, Netherlands, 2016,
|
|
Malek S , Bazi Y , Alajlan N , et al. Efficient framework for palm tree detection in UAV images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7 (12): 4692- 4703.
doi: 10.1109/JSTARS.2014.2331425
|
|
Ross G . Fast R-CNN. International Conference on Computer Vision(ICCV), Santiago, Chile, 2015,
|
|
Ren S , He K , Ross G , et al. Faster R-CNN: towards real-time object detection with region proposal networks. Los Alamitos. International Conference on Neural Information Processing Systems(NIPS), Montreal, Canada, 2015,
|
|
Tang X , Du D K , He Z , et al. Pyramidbox: A context-assisted single shot face detector. Proceedings of the European Conference on Computer Vision (ECCV), Munich, Germany, 2018,
|
|
Wu Y , He K . Group normalization. Proceedings of the European Conference on Computer Vision(ECCV), Munich, Germany, 2018,
|
|
Yang S , Luo P , Loy C-C , et al. Wider face: A face detection benchmark. Computer Vision and Pattern Recognition(CVPR), Las Vegas, America, 2016,
|
|
Zhang S , Zhu X , Lei Z , et al. S3fd: single shot scale-invariant face detector. Proceedings of the IEEE International Conference on Computer Vision, 2017,
|
|
Zhong T , Liu W , Luo Y , et al. A new type-2 fuzzy algorithm for unmanned aerial vehicle image segmentation. International Journal of Multimedia & Ubiquitous Engineering, 2017, 12 (5): 75- 90.
|