HYPERTHUN'22: A MULTI-SENSOR MULTI-TEMPORAL CAMOUFLAGE DETECTION CAMPAIGN

被引：0

作者：

Vogtli, M. ^{[1
]}

Sierro, L. ^{[1
]}

Kneubuhler, M. ^{[1
]}

Schreiner, S. ^{[2
]}

Gross, W. ^{[2
]}

Queck, F. ^{[2
]}

Kuester, J. ^{[2
]}

Mispelhorn, J. ^{[2
]}

Middelmann, W. ^{[2
]}

机构：

[1] Univ Zurich, Remote Sensing Labs RSL, Winterthurerstr 190, CH-8057 Zurich, Switzerland

[2] Fraunhofer IOSB, Image Anal Grp, Gutleuthausstr 1, DE-76275 Ettlingen, Germany

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

关键词：

Hyperspectral; UAV; Target Detection; Camouflage;

D O I：

10.1109/IGARSS52108.2023.10282104

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

HyperThun'22 was a multi-sensor and multi-temporal camouflage detection campaign with drone-carried hyperspectral, thermal, and RGB instruments. In more than 20 flights, various military targets were imaged with the purpose of analysing detection rates, camouflage transparency, and system performances. This article presents the campaign design, the data processing, and first data insights. Preliminary results show the potential of the acquired data for promising studies.

引用

页码：2153 / 2156

页数：4

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