Multi-Prior Graph Autoencoder with Ranking-Based Band Selection for Hyperspectral Anomaly Detection

Hyperspectral anomaly detection (HAD) is an important technique used to identify objects with spectral irregularity that can contribute to object-based image analysis. Latterly, significant attention has been given to HAD methods based on Autoencoders (AE). Nevertheless, due to a lack of prior infor...

詳細記述

書誌詳細

出版年:	Remote Sensing
主要な著者:	Nan Wang, Yuetian Shi, Haiwei Li, Geng Zhang, Siyuan Li, Xuebin Liu
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-09-01
主題:	hyperspectral anomaly detection deep learning band selection autoencoder
オンライン･アクセス:	https://www.mdpi.com/2072-4292/15/18/4430