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Hyperspectral Benchmark: Bridging the Gap between HSI Applications through Comprehensive Dataset and Pretraining
Hannah Frank, Leon Amadeus Varga, Andreas Zell
Hyperspectral Imaging (HSI) serves as a non-destructive spatial spectroscopy technique with a multitude of potential applications. However, a recurring challenge lies in the limite…
Wavelength-aware 2D Convolutions for Hyperspectral Imaging
Leon Amadeus Varga, Martin Messmer, Nuri Benbarka +1
Deep Learning could drastically boost the classification accuracy for Hyperspectral Imaging (HSI). Still, the training on the mostly small hyperspectral data sets is not trivial. T…
Tackling the Background Bias in Sparse Object Detection via Cropped Windows
Leon Amadeus Varga, Andreas Zell
Object detection on Unmanned Aerial Vehicles (UAVs) is still a challenging task. The recordings are mostly sparse and contain only small objects. In this work, we propose a simple…
SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water
Leon Amadeus Varga, Benjamin Kiefer, Martin Messmer +1
Unmanned Aerial Vehicles (UAVs) are of crucial importance in search and rescue missions in maritime environments due to their flexible and fast operation capabilities. Modern compu…
Measuring the Ripeness of Fruit with Hyperspectral Imaging and Deep Learning
Leon Amadeus Varga, Jan Makowski, Andreas Zell
We present a system to measure the ripeness of fruit with a hyperspectral camera and a suitable deep neural network architecture. This architecture did outperform competitive basel…