Masking Hyperspectral Imaging Data with Pretrained Models

The presence of undesired background areas associated with potential noise and unknown spectral characteristics degrades the performance of hyperspectral data processing. Masking out unwanted regions is key to addressing this issue. Processing only regions of interest yields notable improvements in...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	arXiv.org 2023-11
Hauptverfasser:	Arbash, Elias, Andréa de Lima Ribeiro, Thiele, Sam, Gnann, Nina, Rasti, Behnood, Fuchs, Margret, Ghamisi, Pedram, Gloaguen, Richard
Format:	Artikel
Sprache:	eng
Schlagworte:	Background noise Data processing Hyperspectral imaging Image segmentation Masking Object recognition Performance degradation
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!