BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding

17 January 2020

Papers citing "BigEarthNet Dataset with A New Class-Nomenclature for Remote Sensing Image Understanding"

7 / 7 papers shown

Title
Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation Thomas Kerdreux A. Tuel Quentin Febvre A. Mouche Bertrand Chapron 78 0 0 09 Apr 2025
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification Tom Burgert Mahdyar Ravanbakhsh Begüm Demir NoLa 18 17 0 28 Jul 2022
Benchmarking and scaling of deep learning models for land cover image classification Ioannis Papoutsis N. Bountos Angelos Zavras Dimitrios Michail Christos Tryfonopoulos 29 55 0 18 Nov 2021
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing Ioannis Kakogeorgiou Konstantinos Karantzalos XAI 28 118 0 03 Apr 2021
A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification Hichame Yessou Gencer Sumbul Begüm Demir 19 31 0 29 Sep 2020
The color out of space: learning self-supervised representations for Earth Observation imagery Stefano Vincenzi Angelo Porrello Pietro Buzzega Marco Cipriano Pietro Fronte Roberto Cuccu C. Ippoliti A. Conte Simone Calderara SSL 26 63 0 22 Jun 2020
Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification Priit Ulmas I. Liiv 32 79 0 05 Mar 2020