2 papers
stat.AP2018
Enhancement of land-use change modeling using convolutional neural networks and convolutional denoising autoencoders
Guodong Du, Liang Yuan, Kong Joo Shin +1
The neighborhood effect is a key driving factor for the land-use change (LUC) process. This study applies convolutional neural networks (CNN) to capture neighborhood characteristic…
stat.AP2018
Modeling the spatio-temporal dynamics of land use change with recurrent neural networks
Guodong Du, Liang Yuan, Kong Joo Shin +1
This study applies recurrent neural networks (RNNs), which are known for its ability to process sequential information, to model the spatio-temporal dynamics of land use change (LU…