5 papers
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…
Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives
Gencer Sumbul, Jian Kang, Begüm Demir
This chapter presents recent advances in content based image search and retrieval (CBIR) systems in remote sensing (RS) for fast and accurate information discovery from massive dat…
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…
A Novel Multi-Attention Driven System For Multi-Label Remote Sensing Image Classification
Gencer Sumbul, Begüm Demir
This paper presents a novel multi-attention driven system that jointly exploits Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) in the context of multi-label…
BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding
Gencer Sumbul, Marcela Charfuelan, Begüm Demir +1
This paper presents the BigEarthNet that is a new large-scale multi-label Sentinel-2 benchmark archive. The BigEarthNet consists of 590,326 Sentinel-2 image patches, each of which…