548 citations · 1.2k across the 34 of their papers we have counts for
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S2-cGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images
Jose Luis Holgado Alvarez, Mahdyar Ravanbakhsh, Begüm Demir
Deep Neural Networks have recently demonstrated promising performance in binary change detection (CD) problems in remote sensing (RS), requiring a large amount of labeled multitemp…
Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain
Akshara Preethy Byju, Gencer Sumbul, Begüm Demir +1
To reduce the storage requirements, remote sensing (RS) images are usually stored in compressed format. Existing scene classification approaches using deep neural networks (DNNs) r…
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration
Jian Kang, Danfeng Hong, Jialin Liu +3
Interferometric phase restoration has been investigated for decades and most of the state-of-the-art methods have achieved promising performances for InSAR phase restoration. These…
An Approach to Super-Resolution of Sentinel-2 Images Based on Generative Adversarial Networks
Kexin Zhang, Gencer Sumbul, Begüm Demir
This paper presents a generative adversarial network based super-resolution (SR) approach (which is called as S2GAN) to enhance the spatial resolution of Sentinel-2 spectral bands.…