ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Band Selection Using Dilation Distances

Challa, A and Barman, G and Danda, S and Sagar, BSD (2021) Band Selection Using Dilation Distances. In: IEEE Geoscience and Remote Sensing Letters, 19 .

[img] PDF
IEEE_geo_rem_sen_let_19_2022.pdf - Published Version
Restricted to Registered users only

Download (788kB) | Request a copy
Official URL: https://doi.org/10.1109/LGRS.2021.3057117


In this letter, we adapt the dilation operator from mathematical morphology to propose dilation distances. These dilation distances are then used for band selection in hyperspectral images. It is shown that dilation distances between bands can capture the spatial distance between the objects. Hence, using dilation-based distances would select those bands which identify spatially separated objects. This is illustrated using both toy and real data sets. Furthermore, we compare the proposed approach with existing methods and show empirically that dilation-distance-based band selection provided competitive results outperforming several methods.

Item Type: Journal Article
Publication: IEEE Geoscience and Remote Sensing Letters
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc.
Keywords: Mathematical operators; Spectroscopy, Band selection; Dilation operators; Distance-based; Real data sets; Spatial distance, Mathematical morphology, data set; image analysis; numerical model; spatial resolution
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Date Deposited: 14 Jul 2022 08:33
Last Modified: 14 Jul 2022 08:33
URI: https://eprints.iisc.ac.in/id/eprint/74377

Actions (login required)

View Item View Item