Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences-Reference-Cited by-同舟云学术

Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Afifi Ahmed J.¹^ORCID,Thiele Samuel T.¹^ORCID,Rizaldy Aldino¹^ORCID,Lorenz Sandra¹^ORCID,Ghamisi Pedram¹^ORCID,Tolosana-Delgado Raimon¹^ORCID,Kirsch Moritz¹^ORCID,Gloaguen Richard¹^ORCID,Heizmann Michael²^ORCID

Affiliation:

1. Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Helmholtz Institute Freiberg for Resource Technology (HIF), Freiberg, Germany

2. Institute of Industrial Information Technology (IIIT), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

Funder

Initiative and Networking Fund (INF) of the Hermann von Helmholtz Association of German Research Centres in the framework of the Helmholtz Imaging Platform

European Union’s Horizon 2020 research and innovation program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10347274.pdf?arnumber=10347274

Reference69 articles.

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4. ShapeNet: An information-rich 3D model repository;Chang;arXiv:1512.03012,2015

5. Bigearthnet: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding

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