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Report on the 2022 IEEE Geoscience and Remote Sensing Society Data Fusion Contest: Semisupervised learning

Academic Article
Publication Date:
2022
abstract:
The Image Analysis and Data Fusion (IADF) Technical Committee (TC) of the IEEE Geoscience and Remote Sensing Society (GRSS) has been organizing the annual Data Fusion Contest (DFC) since 2006. The contest promotes the development of methods for extracting geospatial information from large-scale, multisensor, multimodal, and multitemporal data. It aims to propose new problem settings that are challenging to address with existing techniques and to establish new benchmarks for scientific challenges in remote sensing image analysis [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19]. IEEE
Iris type:
01.01 Articolo in rivista
Keywords:
Benchmark testing; Data integration; Earth; Image analysis; Optical sensors; Remote sensing; Semantics
List of contributors:
Vivone, Gemine
Authors of the University:
VIVONE GEMINE
Handle:
https://iris.cnr.it/handle/20.500.14243/463879
Published in:
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
Journal
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Overview

URL

https://ieeexplore.ieee.org/document/9956742
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