Ruizhi Chen
Precision Agriculture · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Ruizhi Chen trusts overall
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Papers from Ruizhi Chen's perspective
Ordered by how strongly the researchers Ruizhi Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Distinctive Image Features from Scale-Invariant Keypoints
- Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle (IEEE Transactions on Geoscience and Remote Sensing)
- Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods
- Unmanned aerial systems for photogrammetry and remote sensing: A review
- ImageNet classification with deep convolutional neural networks
- Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture (Remote Sensing)
- Spectral difference analysis and airborne imaging classification for citrus greening infected trees
- Gradient-based learning applied to document recognition
- Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley (International Journal of Applied Earth Observation and Geoinformation)
- Going deeper with convolutions