@article{yokoya2021data,
author = {Yokoya, Naoto and Ghamisi, Pedram and Hansch, Ronny and Prieur, Colin and Malha, Hana and Chanussot, Jocelyn and Robinson, Caleb and Malkin, Kolya and Jojic, Nebojsa},
title = {2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good},
year = {2021},
month = {March},
abstract = {The 2021 Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS), promotes research on geospatial artificial intelligence (AI) for social good. The global objective is to build models for understanding the state of and changes in artificial and natural environments from remote sensing data toward sustainable development. The contest is designed as a benchmark competition, following previous editions [1]–[5]. The 2021 Data Fusion Contest (Figure 1) consists of two parallel tracks:
1) detection of settlements without electricity (DSE)
2) multitemporal semantic change detection (MSD).},
url = {http://approjects.co.za/?big=en-us/research/publication/2021-data-fusion-contest-geospatial-artificial-intelligence-for-social-good/},
pages = {287-C3},
journal = {IEEE Geoscience and Remote Sensing Magazine},
volume = {9},
number = {1},
}