Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jannick Kuester"'
Publikováno v:
2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).
Publikováno v:
Artificial Intelligence and Machine Learning in Defense Applications III.
The rising availability of hyperspectral data has increased the attention of anomaly detection for various applications. Anomaly detection aims to find a small number of pixels in the hyperspectral data for which the spectral signatures differ signif
Publikováno v:
Image and Signal Processing for Remote Sensing XXVII.
This work addresses the problem of hyperspectral data compression and compares the reconstruction accuracy for different compression rates. Through data compression, the enormous amount of data created by hyperspectral sensors can be transmitted effe
Autor:
Wolfgang Middelmann, Jonas E. Böhler, Simon Schreiner, Florian Queck, Jannick Kuester, Mathias Kneubühler, Jonas Mispelhorn, Wolfgang Gross, Marius Vögtli
Publikováno v:
Target and Background Signatures VII.
This paper shows three experiments from our HyperGreding’19 campaign that combine multi-temporal hyper�spectral data to address several essential questions in target detection. The experiments were conducted over Greding, Germany, using a Headwal
Publikováno v:
Image and Signal Processing for Remote Sensing XXVI.
In recent years, the development of sensor technology in the area of hyperspectral imaging has been continuously moving forward. The result is a significant increase in availability, applications and, consequently, data volume. Compression is require