Automatic Detection and Removal of Spiked Points in Hyperspectral Images

Automatic Detection and Removal of Spiked Points in Hyperspectral Images

This paper presents an approach to eliminate one of the most common defects in hyperspectral images—the appearance of spiked points at some wavelengths. The elimination of this defect was carried out by means of polynomial regression. The Bayes Information Criterion (BIC) was used to determine the c...

Full description

Saved in:
Bibliographic Details
Main Authors: Georgi Manchev, Stanislav Penchev, Tsvetelina Georgieva, Eleonora Kirilova, Plamen Daskalov
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Engineering Proceedings
Subjects:
hyperspectral images
preprocessing and filtering
defect pixels
automatic detection
Online Access:https://www.mdpi.com/2673-4591/70/1/32
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2673-4591/70/1/32

Similar Items