Hyperspectral Imaging and Object Detection

Institut

Lehrstuhl für Agrarmechatronik (TUM-ED)

Typ

Semesterarbeit / Masterarbeit /

Inhalt

experimentell / theoretisch /  

Beschreibung

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.

Voraussetzungen

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

Möglicher Beginn

01.09.2026

Kontakt

Phil-Martin Kaulfuß
phil-martin.kaulfusstum.de

Ausschreibung