Hyperspectral Anomaly Detection With Morphological Random Walker

Hyperspectral Anomaly Detection With Morphological Random Walker

This work proposes a new morphological random walker (MRW) method for hyperspectral anomaly detection. The proposed method introduces a morphology-based objective function into a random walker (RW) algorithm, sufficiently exploiting spatial morphological property and spatial similarity of HSIs for d...

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Bibliographic Details
Main Authors: Zhihong Huang, Keren Zhang, Jian Xiao, Junxingxu Chen, Guangming Zhu, Sheng Wu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Hyperspectral images
anomaly detection
random walker
extended morphological profiles
morphological property
Online Access:https://ieeexplore.ieee.org/document/9489273/

Internet

https://ieeexplore.ieee.org/document/9489273/

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