Spatial residual clustering and entropy based ranking for hyperspectral band selection

Spatial residual clustering and entropy based ranking for hyperspectral band selection

Though the Hyper-spectral images (HSI) are associated with rich spectral information for discriminating the class-specific objects, the high dimensional data generates Hughes effect for additional processing. So, during pre-processing, band Selection (BS) is done to lower the dimension. The proposed...

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Bibliographic Details
Main Authors: Kishore Raju K., Saradhi Varma G. P., Rajya Lakshmi D.
Format: Article
Language:English
Published: Taylor & Francis Group 2020-06-01
Series:European Journal of Remote Sensing
Subjects:
clustering
dimensionality reduction
entropy-based ranking
hyperspectral image
residual filtering
unsupervised band selection
Online Access:http://dx.doi.org/10.1080/22797254.2019.1703559

Internet

http://dx.doi.org/10.1080/22797254.2019.1703559

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