Open Access
| Issue |
MATEC Web Conf.
Volume 277, 2019
2018 International Joint Conference on Metallurgical and Materials Engineering (JCMME 2018)
|
|
|---|---|---|
| Article Number | 02012 | |
| Number of page(s) | 6 | |
| Section | Data and Signal Processing | |
| DOI | https://doi.org/10.1051/matecconf/201927702012 | |
| Published online | 02 April 2019 | |
- Brown J C, Kastens J H, Coutinho A C., et al Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data. Remote Sensing of Environment, 2013, 130: 39-50. [CrossRef] [Google Scholar]
- Li X, Xu X, Wang J., et al Crop classification recognition based on time-series images from HJ satellite. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(2): 169-176. (in Chinese with English Abstract) [Google Scholar]
- Khatami, Reza, Giorgos Mountrakis, and Stephen V. Stehman. "A meta-analysis of remote sensing research on supervised pixel-based land-cover image classification processes: General guidelines for practitioners and future research." Remote Sensing of Environment 177 (2016): 89-100. [CrossRef] [Google Scholar]
- Chen, Yushi, et al. "Deep learning-based classification of hyperspectral data." IEEE Journal of Selected topics in applied earth observations and remote sensing 7.6 (2014):2094-2107.5. [Google Scholar]
- Kussul, Nataliia, et al. "Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data." IEEE Geoscience and Remote Sensing Letters 14.5 (2017): 778-782. [CrossRef] [Google Scholar]
- Fukushima K. Neocognitron: A hierarchical neural network capable of visual pattern recognition. Neural networks, 1988, 1(2): 119-130. [CrossRef] [Google Scholar]
- LeCun Y, Bottou L, Bengio Y., et al Gradient-based learning applied to document recognition. Proceedings of the IEEE, 1998, 86(11): 2278-2324. [CrossRef] [Google Scholar]
- Simard P Y, Steinkraus D, Platt J C. Best practices for convolutional neural networks applied to visual document analysis. //ICDAR. 2003, 3: 958-962. [Google Scholar]
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