machine-learning hyperspectral-data svm ensemble-learning analysis decision-trees deep-neural-networks

🌳 🌳 Hyperspectral Tree Analysis 🌳 🌳

A scientific team project of students at the Otto-von-Guericke-University Magdeburg in cooperation with the Fraunhofer Institute for Factory Operation and Automation IFF

Goal

Referring to current projects for the airborne acquisition and analysis of hyperspectral data concerning tree species classification and vitality estimation, we want to develop new approaches for analysis based on current methods in machine learning.

Data

The Fraunhofer IFF will provide appropriate hyperspectral data sets.

Tasks

Implementation of an evaluation framework
Extraction of an appropriate feature space
Analysis using machine learning / pattern recognition methods
Integration and execution of tests
Documentation

Status

Project was successfully completed

About

Evaluation of machine learning algorithms on hyperspectral images of forests.

machine-learning hyperspectral-data svm ensemble-learning analysis decision-trees deep-neural-networks

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