PROCESSING OF DRONE-BORNE HYPERSPECTRAL DATA FOR GEOLOGICAL APPLICATIONS

被引:0
作者
Jakob, Sandra [1 ]
Zimmermann, Robert [1 ]
Gloaguen, Richard [1 ]
机构
[1] Helmholtz Zentrum Dresden Rossendorf, Helmholtz Inst Freiberg Resource Technol, Div Explorat, Chemnitzer Str 40, D-09599 Freiberg, Germany
来源
2016 8TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS) | 2016年
关键词
hyperspectral data; Unmanned Aerial Systems; drone-borne remote sensing; processing toolbox; Acidic Mine Drainage;
D O I
暂无
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Unmanned Aerial Systems (UAS) are used increasingly to close the gap between space-or airborne and field spectral data. They are able to provide high-resolution hyperspectral images within a short time. However, complex geometric and radiometric corrections are required. These correction steps are crucial, especially when the data should be used in geological applications such as detection of raw materials. Thus, in the following paper we present a new toolbox for processing drone-borne hyperspectral data. Processing steps comprise automatic co-registration, mosaicking and geo-referencing as well as topographic and illumination correction. For the first time we show the applicability of drone-borne hyperspectral data for geological surveys.
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页数:5
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