Hyperspectral Imaging and Object Detection

Institute

Lehrstuhl für Agrarmechatronik (TUM-ED)

Type

Semester Thesis / Master's Thesis /

Content

experimental / theoretical /  

Description

Hyperspectral imaging is an emerging technology with high potential in agricultural environments, particularly under challenging conditions. The aim of this thesis is to investigate object detection using hyperspectral data. Tasks include analysing the current state of research, identifying promising approaches, implementing an object detection algorithm based on an existing dataset, and evaluating model performance using established benchmarks.

Requirements

• Interest in computer vision, machine learning, or remote sensing 
• Programming experience (e.g. Python, Matlab)
• Analytical thinking and motivation for research-oriented work

Possible start

01.09.2026

Contact

Phil-Martin Kaulfuß
phil-martin.kaulfusstum.de

Announcement