Concepedia

Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data

Xiaoqiang Liu, Yanjun Su, Tianyu Hu, Qiuli Yang, Bingbing Liu, Yufei Deng, Hao Tang, Zhiyao Tang, Jingyun Fang, Qinghua Guo

Remote Sensing of Environment · 2021 · 270 citations · 66 references

Concepts

Natural SciencesEarth SciencesGeoinformaticsClimatologyDigital Elevation ModelingRemote SensingInterpolation Of Elevation SurfacesInterpolation TechniquesLand Surface ModelingRemote Sensing For Forest InventorySpatial InterpolationVegetation IndicesCanopy Height MappingElevation InterpolationForest Height MappingNeural Network ModelingRemote Sensing-based Height EstimationVegetation Height Mapping

References

66

Adam: A Method for Stochastic Optimization

Diederik P. Kingma, Jimmy Ba · UvA-DARE (University of Amsterdam) · 2014 · 84.8K citations · Full text

Computing, Computer Science, Algorithms +16

ImageNet classification with deep convolutional neural networks

Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · Communications of the ACM · 2017 · 75.7K citations · Full text

Computing, Computer Science, Computer Vision +12

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +10

Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky et al. · 2014 · 34.3K citations

Computing, Computer Science, Artificial Intelligence +12

Multilayer feedforward networks are universal approximators

Kurt Hornik, Maxwell B. Stinchcombe, Halbert White · Neural Networks · 1989 · 21.2K citations

Computing, Computer Science, Mathematics +10