Überwachte methoden für die spektrale entmischung mit künstlichen neuronalen netzen / von Johannes Anastasiadis.

Format:

Book

Author/Creator:

Anastasiadis, Johannes, author.

Series:

Forschungsberichte aus der industriellen informationstechnik ; 2190-6629. band 30

Forschungsberichte aus der industriellen informationstechnik, 2190-6629 ; band 30

Language:

German

Subjects (All):

Neural networks (Computer science)--Applications.

Neural networks (Computer science).

Machine learning--Applications.

Machine learning.

Remote sensing--Data processing.

Remote sensing.

Image processing--Digital techniques.

Image processing.

Physical Description:

1 online resource

Place of Publication:

Karlsruhe : KIT Scientific Publishing, [2023]

Summary:

"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."--Publisher's website.

Notes:

Includes bibliographical references.

Open access. This is an Open Access book distributed under the terms of the Creative Commons Attribution + ShareAlike 4.0 (CC BY-SA) license, which enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. Copyright is retained by the author(s).

Description based on website home page, viewed February 15, 2024.