Fusion of Deep Convolutional Neural Networks for Land Cover Classification of High-Resolution Imagery

By Grant J. Scott, Richard A. Marcum, C. Davis, Tyler W. Nivin. 2017

169 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. M. Mohammadi
2. M. Wulder
3. Joanne C. White
4. Ala Al-Fuqaha
5. Nicholas C. Coops
6. Sameh Sorour
7. Mohsen Guizani
8. David P. Roy

Citations in the corpus

• Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017, methodology): “DL also has been used in remote sensing for land and crop detection and classification [135]–[137].”
• Land cover 2.0 (2018, background): “…(e.g. Janssen et al. 1994; Foody 2002, Stehman 2009; Stehman 2013) with increased emphasis on calibration data needs relative to speci fi c data inputs (i.e. time series, Pelletier et al. 2017) and classi fi cation approaches (e.g. Millard and Richardson 2015; Mellor et al. 2015; Scott et al. 2017).”
• DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images (2018, methodology): “[48] applied DCNNbased approach on the UCM dataset and obtained a best accuracy of 98.”