Subsidence feature discrimination using deep convolutional neural networks in synthetic aperture radar imagery

Colin P. Schwegmann, Waldo Kleynhans, Jeanine Engelbrecht, L. W. Mdakane, R. G. V. Meyer. Subsidence feature discrimination using deep convolutional neural networks in synthetic aperture radar imagery. In 2017 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, TX, USA, July 23-28, 2017. pages 4626-4629, IEEE, 2017. [doi]

Abstract

Abstract is missing.