Conditional Optimal Filter Selection for Multispectral Object Classification

Kossira K, Schön D, Seiler J, Kaup A (2024)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2024

Event location: Abu Dhabi AE

URI: https://arxiv.org/abs/2410.02001

DOI: 10.1109/ICIP51287.2024.10647688

Open Access Link: https://arxiv.org/abs/2410.02001

Abstract

Capturing images using multispectral camera arrays has gained importance in medical, agricultural and environmental processes. However, using all available spectral bands is infeasible and produces much data, while only a fraction is needed for a given task. Nearby bands may contain similar information, therefore redundant spectral bands should not be considered in the evaluation process to keep complexity and the data load low. In current methods, a restricted and pre-determined number of spectral bands is selected. Our approach improves this procedure by including preset conditions such as noise or the bandwidth of available filters, minimizing spectral redundancy. Furthermore, a minimal filter selection can be conducted, keeping the hardware setup at low costs, while still obtaining all important spectral information. In comparison to the fast binary search filter band selection method, we managed to reduce the amount of misclassified objects of the SMM dataset from 318 to 124 using a random forest classifier.

Authors with CRIS profile

Katja Kossira Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Jürgen Seiler Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

How to cite

APA:

Kossira, K., Schön, D., Seiler, J., & Kaup, A. (2024). Conditional Optimal Filter Selection for Multispectral Object Classification. In Proceedings of the International Conference on Image Processing (ICIP). Abu Dhabi, AE.

MLA:

Kossira, Katja, et al. "Conditional Optimal Filter Selection for Multispectral Object Classification." Proceedings of the International Conference on Image Processing (ICIP), Abu Dhabi 2024.

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