548 citations · 1.2k across the 34 of their papers we have counts for
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A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels
Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger +1
Collecting a large number of reliable training images annotated by multiple land-cover class labels in the framework of multi-label classification is time-consuming and costly in r…
BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval
Gencer Sumbul, Arne de Wall, Tristan Kreuziger +6
This paper presents the multi-modal BigEarthNet (BigEarthNet-MM) benchmark archive made up of 590,326 pairs of Sentinel-1 and Sentinel-2 image patches to support the deep learning…
A Novel Graph-Theoretic Deep Representation Learning Method for Multi-Label Remote Sensing Image Retrieval
Gencer Sumbul, Begüm Demir
This paper presents a novel graph-theoretic deep representation learning method in the framework of multi-label remote sensing (RS) image retrieval problems. The proposed method ai…
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval
Gencer Sumbul, Mahdyar Ravanbakhsh, Begüm Demir
Learning the similarity between remote sensing (RS) images forms the foundation for content-based RS image retrieval (CBIR). Recently, deep metric learning approaches that map the…