1 |
Estruch J J , Carozzi N B , Desai N , et al. Transgenic plants:an emerging approach to pest control[J]. Nature Biotechnology, 1997, 15 (2): 137- 141.
|
2 |
Latchininsky A V . Locusts and remote sensing:a review[J]. Journal of Applied Remote Sensing, 2013, 7 (1): 075099.
doi: 10.1117/1.JRS.7.075099
|
3 |
Zhang L , Hunter D M . Management of locusts and grasshoppers in China[J]. Journal of Orthoptera Research, 2017, 26 (2): 155- 159.
doi: 10.3897/jor.26.20119
|
4 |
石瑞香, 刘闯, 李典谟, 等. 蝗虫生境监测方法研究进展[J]. 生态学报, 2003, 23 (11): 2475- 2483.
doi: 10.3321/j.issn:1000-0933.2003.11.032
|
5 |
Sivanpillai R , Latchininsky A V , Driese K L , et al. Mapping locust habitats in River Ili Delta, Kazakhstan, using Landsat imagery[J]. Agriculture, Ecosystems & Environment, 2006, 117 (2/3): 128- 134.
|
6 |
Sivanpillai R , Latchininsky A V . Mapping locust habitats in the Amudarya River Delta, Uzbekistan with multi-temporal MODIS imagery[J]. Environmental Management, 2007, 39 (6): 876- 886.
doi: 10.1007/s00267-006-0193-y
|
7 |
Latchininsky A V, Sivanpillai R.Locust habitat monitoring and risk assessment using remote sensing and GIS technologies[M]//Ciancia A, Mukerji K.Integrated management of arthropod pests and insect borne diseases.Dordrecht, Netherlands: Springer, 2010: 163-188.
|
8 |
Latchininsky A, Piou C, Franc A, et al.8-Applications of remote sensing to locust management[M]//Baghdadi N, Zribi M.Land surface remote sensing.Oxford, UK: Elsevier, 2016: 263-293.
|
9 |
房世波, 韩威, 裴志方. 沙漠蝗群对印巴边境植被的影响及其未来可能发展趋势[J]. 遥感学报, 2020, 24 (3): 326- 332.
|
10 |
孙苏琪, 王式功, 罗彬, 等. 应用机器学习算法的成都市冬季空气污染预报研究[J]. 气象与环境学报, 2020, 36 (2): 98- 104.
doi: 10.3969/j.issn.1673-503X.2020.02.013
|
11 |
李晓岚, 刘旸, 栾健, 等. 基于BP人工神经网络法沈阳市PM2.5质量浓度集成预报试验[J]. 气象与环境学报, 2018, 34 (2): 100- 106.
doi: 10.3969/j.issn.1673-503X.2018.02.013
|
12 |
Girshick R, Donahue J, Darrell T, et al.Rich feature hierarchies for accurate object detection and semantic segmentation[C]//IEEE.2014 IEEE Conference on Computer Vision and Pattern Recognition.Columbus, OH, USA: IEEE, 2014: 580-587.
|
13 |
Ren S , He K , Girshick R , et al. Faster R-CNN:Towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39 (6): 1137- 1149.
doi: 10.1109/TPAMI.2016.2577031
|
14 |
He K , Zhang X Y , Ren S Q , et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37 (9): 1904- 1916.
doi: 10.1109/TPAMI.2015.2389824
|
15 |
Redmon J, Divvala S, Girshick R, et al.You only look once: Unified, real-time object detection[C]//IEEE.2016 IEEE Conference on Computer Vision and Pattern Recognition.Las Vegas, NV, USA: IEEE, 2016: 779-788.
|
16 |
瞿建华, 鄢俊洁, 薛娟, 等. 基于深度学习的FY3D/MERSI和EOS/MODIS云检测模型研究[J]. 气象与环境学报, 2019, 35 (3): 87- 93.
|
17 |
Swersky K, Snoek J, Adams R P.Multi-task bayesian optimization[C]//Neural Infommation Processing Systems.Advances in Neural Information Processing Systems 26.Red Hook, NY: Curran Associates, Inc., 2013: 2004-2012.
|
18 |
Lee C Y, Xie S N, Gallagher P, et al.Deeply-supervised nets[C]//Proceedings of Machine Learning Research.Proceedings of the Eighteenth Internatinal Conference on Artificial Intelligence and statistics.San Diego, California, USA: PMLR, 2015: 562-570.
|
19 |
Russakovsky O , Deng J , Su H , et al. ImageNet large scale visual recognition challenge[J]. International Journal of Computer Vision, 2015, 115 (3): 211- 252.
doi: 10.1007/s11263-015-0816-y
|
20 |
Szegedy C, Liu W, Jia Y Q, et al.Going deeper with convolutions[C]//IEEE.2015 IEEE Conference on Computer Vision and Pattern Recognition.Boston, MA, USA: IEEE, 2015: 1-9.
|
21 |
Jiang H, Learned-Miller E.Face detection with the Faster R-CNN[C]//IEEE.2017 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops.Washington, DC, USA: IEEE, 2017: 650-657.
|
22 |
Xu Y Z , Yu G Z , Wang Y P , et al. Car detection from low-altitude UAV imagery with the Faster R-CNN[J]. Journal of Advanced Transportation, 2017, 2823617.
|
23 |
Li J X , Zhang D X , Zhang J J , et al. Facial expression recognition with Faster R-CNN[J]. Procedia Computer Science, 2017, (107): 135- 140.
|
24 |
Sun X D , Wu P C , Hoi S C H . Face detection using deep learning:An improved faster RCNN approach[J]. Neurocomputing, 2018, (299): 42- 50.
|
25 |
Xiong X, Wang Y, Zhang X.Color Image Segmentation using Pulse-Coupled Neural Network for Locusts Detection[C]//Crone S F, Lessmann S, Stahlbock R.Proceedings of the 2006 International Conference on Data Mining, DMIN 2006.Las Vegas, Nevada, USA: CSREA Press, 2006.
|
26 |
Liu Z Y , Gao J F , Yang G G , et al. Localization and classification of paddy field pests using a saliency map and deep convolutional neural network[J]. Scientific Reports, 2016, 6 (2): 20410.
|
27 |
Liu L , Wang R J , Xie C J , et al. PestNet:An end-to-end deep learning approach for large-scale multi-class pest detection and classification[J]. IEEE Access, 2019, 7 (4): 45301- 45312.
|
28 |
Xia D N , Chen P , Wang B , et al. Insect detection and classification based on an improved convolutional neural network[J]. Sensors, 2018, 18 (12): 4169.
doi: 10.3390/s18124169
|
29 |
Ding W G , Taylor G . Automatic moth detection from trap images for pest management[J]. Computers and Electronics in Agriculture, 2016, 123 (4): 17- 28.
|
30 |
Simonyan K, Zisserman A.Very deep convolutional networks for large-scale image recognition[C]//Bengio Y, LeCun Y.3rd International Conference on Learning Representations, ICLR 2015.San Diego, CA, USA: ICLR, 2015.
|