Identification of Lantana Camara Distribution Using Convolutional Neural Networks
作者： Tharushi Samarajeewa , Chathura Suduwella , Namal Jayasuriya , Prabhash Kumarasinghe , Kasun Gunawardana
DOI: 10.1109/ICTER.2018.8615559
关键词:
摘要: Lantana camara is an exotic invasive plant that has been a major threat to the biodiversity of several areas around world. This paper presents novel methodology identify distribution flowers in aerial images. The proposed model uses images as inputs and consist three stages. first step detection possible flower patches using Local Binary Patterns mechanism. second recognition from localized through classification process Convolutional Neural Network (CNN). third marking presence original image. Achieved sensitivity rate this study 40.71%. succeeded identifying by
sci-hub.se 参考文章(13)
Karen Simonyan, Andrew Zisserman, Very Deep Convolutional Networks for Large-Scale Image Recognition computer vision and pattern recognition. ,(2014)
Fadzilah Siraj, Hawa Mohd Ekhsan, Abdul Nasir Zulkifli, Flower image classification modeling using neural network international conference on computer control informatics and its applications. pp. 81- 86 ,(2014) , 10.1109/IC3INA.2014.7042605
Om P. Sharma, Harinder Paul S. Makkar, Rajinder K. Dawra, A review of the noxious plant Lantana camara Toxicon. ,vol. 26, pp. 975- 987 ,(1988) , 10.1016/0041-0101(88)90196-1
Timo Ojala, Matti Pietikäinen, David Harwood, A comparative study of texture measures with classification based on featured distributions Pattern Recognition. ,vol. 29, pp. 51- 59 ,(1996) , 10.1016/0031-3203(95)00067-4
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, Li Fei-Fei, ImageNet Large Scale Visual Recognition Challenge International Journal of Computer Vision. ,vol. 115, pp. 211- 252 ,(2015) , 10.1007/S11263-015-0816-Y
Dan C. Cireşan, Jonathan Masci, Jürgen Schmidhuber, Luca M. Gambardella, Ueli Meier, Flexible, high performance convolutional neural networks for image classification international joint conference on artificial intelligence. pp. 1237- 1242 ,(2011) , 10.5591/978-1-57735-516-8/IJCAI11-210
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell, Caffe: Convolutional Architecture for Fast Feature Embedding acm multimedia. pp. 675- 678 ,(2014) , 10.1145/2647868.2654889
Ilya Sutskever, Geoffrey E. Hinton, Alex Krizhevsky, ImageNet Classification with Deep Convolutional Neural Networks neural information processing systems. ,vol. 25, pp. 1097- 1105 ,(2012)
Pradip Salve, Milind Sardesai, Ramesh Manza, Pravin Yannawar, Identification of the Plants Based on Leaf Shape Descriptors Springer, New Delhi. pp. 85- 101 ,(2016) , 10.1007/978-81-322-2517-1_10
S. J. van Bloem, V. K. Dadhwal, P. Soni, M. M. Kimothi, S. K. Chandola, D. Anitha, H. B. Vasistha, S. P. S. Kushwaha, Remote sensing to map the invasive weed, Lantana camara in forests Tropical Ecology. ,vol. 51, pp. 67- 74 ,(2010)