Band Selection via Band Density Prominence Clustering for Hyperspectral Image Classification

Band Selection via Band Density Prominence Clustering for Hyperspectral Image Classification

Band clustering has been widely used for hyperspectral band selection (BS). However, selecting an appropriate band to represent a band cluster is a key issue. Density peak clustering (DPC) provides an effective means for this purpose, referred to as DPC-based BS (DPC-BS). It uses two indicators, clu...

Full description

Bibliographic Details
Main Authors: Chein-I Chang, Yi-Mei Kuo, Kenneth Yeonkong Ma
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Remote Sensing
Subjects:
band density prominent peak clustering (BDPC)
band distance (BD)
band local density (BLD)
band prominence value (BPV)
band selection (BS)
hyperspectral image classification (HSIC)
Online Access:https://www.mdpi.com/2072-4292/16/6/942

Internet

https://www.mdpi.com/2072-4292/16/6/942

Similar Items