Interference-Suppressed and Cluster-Optimized Hyperspectral Target Extraction Based on Density Peak Clustering

Interference-Suppressed and Cluster-Optimized Hyperspectral Target Extraction Based on Density Peak Clustering

Target extraction can provide a prior knowledge for spectral unmixing, unsupervised hyperspectral image classification, and unsupervised target detection tasks, which is of great practice. Considering that the traditional endmember extraction algorithms such as automatic target generation process (A...

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Bibliographic Details
Main Authors: Xiaodi Shang, Tingting Yang, Sichao Han, Meiping Song, Bai Xue
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Density peak clustering (DPC)
hyperspectral image
spectral unmixing
unsupervised hyperspectral image (HSI) classification
unsupervised target detection
weighted target extraction
Online Access:https://ieeexplore.ieee.org/document/9427130/

Internet

https://ieeexplore.ieee.org/document/9427130/

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