Remove and recover: two stage convolutional autoencoder based sonar image enhancement algorithm

High-quality forward-looking sonar images are the basic guarantee for underwater object detection and classification of autonomous underwater vehicle (AUV). However, the sonar image has been suffering from two main problem with complex and changeable underwater environment: high speckle noises and t...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Multimedia tools and applications Jg. 83; H. 18; S. 55963 - 55979
Hauptverfasser:	Liu, Ting, Yan, Shun, Wang, Guofeng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.05.2024 Springer Nature B.V
Schlagworte:	Algorithms Autonomous underwater vehicles Computer Communication Networks Computer Science Data Structures and Information Theory High frequencies Image enhancement Image quality Multimedia Information Systems Noise Object recognition Restoration Sonar Special Purpose and Application-Based Systems Target detection Track 6: Computer Vision for Multimedia Applications Water tanks Convolutional autoencoders Speckle reduction Sonar image Underwater object detection Image enhancement
ISSN:	1573-7721, 1380-7501, 1573-7721
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!