Überwachte Methoden für die spektrale Entmischung mit künstlichen neuronalen Netzen

Autor:	Anastasiadis, Johannes
Jazyk:	němčina
Rok vydání:	2023
Předmět:	data generation data augmentation supervised training artificial neural network hyperspectral image Datenerzeugung Datenaugmentierung überwachtes Training Hyperspektralbild künstliche neuronale Netze
Druh dokumentu:	book
DOI:	10.5445/KSP/1000159281
Popis:	In this work, artificial neural networks trained in a supervised manner for spectral unmixing are investigated. For this purpose, a suitable network architecture is determined first. After that, the focus lies on the generation of suitable training data. Model-based methods that generate training data from real pure spectra and data-based methods that augment existing training data are presented and evaluated.
Databáze:	OAPEN Library
Externí odkaz:	https://library.oapen.org/handle/20.500.12657/75890 Zobrazit plný text záznamu