Predicting developed land expansion using deep convolutional neural networks

Author:

Pourmohammadi P.,Adjeroh D.A.,Strager M.P.,Farid Y.Z.

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference22 articles.

1. Segnet: a deep convolutional encoder-decoder architecture for image segmentation;Badrinarayanan;IEEE Trans. Pattern Anal. Mach. Intell.,2017

2. Land Use Classification in Remote Sensing Images by Convolutional Neural Networks;Castelluccio,2015

3. The relationship between Precision-Recall and ROC curves;Davis,2006

4. Completion of the 2011 National Land Cover Database for the conterminous United States–representing a decade of land cover change information;Homer;Photogramm. Eng. Rem. Sens.,2015

5. Deep convolutional neural networks for hyperspectral image classification;Hu;Journal of Sensors,2015

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