SVHAE: Spectral Variability-Aware Hybrid Autoencoder for Hyperspectral Underwater Target Detection

SVHAE: Spectral Variability-Aware Hybrid Autoencoder for Hyperspectral Underwater Target Detection

Hyperspectral imaging (HSI) has evolved as an important tool for many applications, including remote sensing, crime investigation, target detection, disease diagnosis, and anomaly detection. Among these, hyperspectral underwater target detection (HUTD) presents unique challenges due to spectral dist...

Full description

Saved in:
Bibliographic Details
Main Authors: Suresh Aala, Sravan Kumar Sikhakolli, Sunil Chinnadurai, Anuj Deshpande, Karthikeyan Elumalai, Md. Abdul Latif Sarker, Hala Mostafa
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Hyperspectral imaging
underwater target detection
parallel spectral unmixing
linear unmixing
nonlinear unmixing
remote sensing
Online Access:https://ieeexplore.ieee.org/document/11075652/
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

https://ieeexplore.ieee.org/document/11075652/

Similar Items