Our Blog

Check out our new paper on hyperspectral drillcore scanning! We present a new (open-source!) workflow for real-time processing and...

Excited to share a new paper on „Spectral Characterization of Battery Components from Li-Ion Battery Recycling Processes“ led by Julia...

In this study we propose a workflow for using hyperspectral imaging for geological mapping in underground mining. We evaluated sensors...

Excellent new contribution led by Ahmed J. Afifi in a collaboration with Karlsruhe Institute of Technology (KIT) IIIT. We want to boost...

Masking Hyperspectral Imaging Data with Pretrained Models By Elias Arbash The paper is available at: https://arxiv.org/abs/2311.03053...

A while ago, me and my colleagues wrote a chapter in the Encyclopedia of Geology's 2nd edition on geological remote sensing. We tried to...

Multi-sensor data fusion using deep learning for bulky waste image classification By Ahmed J. Afifi Images from all sensors of wood...

Take a look at this paper on IoT-Cloud-Based Earthquake Early Warning Systems where Willfried Yves Hamilton Adoni is co-author. The work...

Take a look at the summary of Wilfried Hamilton and Co's new paper. Uncrewed aerial vehicles (UAVs), also known as drones, are ubiquitous...

Magnetic data can be acquired from a number of different platforms (e.g., ground, drone, helicopter) using a variety of sensors (e.g.,...

Hyperspectral imaging is an innovative technology for non-invasive mapping, with increasing applications in many sectors. As with any...

A multi-parameter approach for recognition of anthropogenic noise in aeromagnetic data collected over populated areas: Erzgebirge,...

The digitization and automation of the raw material sector is required to attain the targets set by the Paris Agreements and support the...

The ever-growing developments in technology to capture different types of image data [e.g., hyperspectral imaging and light detection and...

Mineral exploration in the West Greenland flood basalt province is attractive because of its resemblance to the magmatic sulfide-rich...

Ambient seismic noise tomography is a novel, low-impact method to investigate the Earth’s structure. While most passive seismic studies...

Natural test sites are resource-intensive and often limited to single industries or technologies. Drawing upon two strands of research...

In this article, we introduce a deep learning-based technique for the linear hyperspectral unmixing problem. The proposed method contains...