548 citations · 1.2k across the 31 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…
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…
BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding
Gencer Sumbul, Jian Kang, Tristan Kreuziger +5
This paper presents BigEarthNet that is a large-scale Sentinel-2 multispectral image dataset with a new class nomenclature to advance deep learning (DL) studies in remote sensing (…