548 citations · 1.2k across the 34 of their papers we have counts for
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A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification
Hichame Yessou, Gencer Sumbul, Begüm Demir
This paper analyzes and compares different deep learning loss functions in the framework of multi-label remote sensing (RS) image scene classification problems. We consider seven l…
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…
SD-RSIC: Summarization Driven Deep Remote Sensing Image Captioning
Gencer Sumbul, Sonali Nayak, Begüm Demir
Deep neural networks (DNNs) have been recently found popular for image captioning problems in remote sensing (RS). Existing DNN based approaches rely on the availability of a train…
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…