A Novel Approach for Band Selection Using Virtual Dimensionality Estimate and Principal Component Analysis for Satellite Image Classification

Smriti Sehgal, Laxmi Ahuja and M. Hima Bindu
Additional contact information
Smriti Sehgal: Amity University, Noida, India
Laxmi Ahuja: Amity Institute of Information Technology, Amity University, Noida, India
M. Hima Bindu: North Orissa University, India

International Journal of Intelligent Information Technologies (IJIIT), 2022, vol. 18, issue 2, 1-16

Abstract: Images, being around us in every aspect of life, have become an emerging field of research. Extensive image analysis has been done on binary as well as coloured images, which has led various researchers to explore images having deep spectral knowledge about a particular area of interest. High resolution images, having more than three spectral bands, capture minute details of an object in various spectral bands resulting in high computational complexity. In this paper, the authors have tried to reduce the complexity of multispectral image by selecting only the relevant bands need to reconstruct an image. Traditional principal component analysis technique is used for band selection of true color bands and classification-assessed results of both the images; original and dimensionality reduced images are compared using partitioning clustering technique. Experimental results show that compressed image after reduction of bands by PCA yields better classification results than the original image.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJIIT.296272 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jiit00:v:18:y:2022:i:2:p:1-16

Access Statistics for this article

International Journal of Intelligent Information Technologies (IJIIT) is currently edited by Vijayan Sugumaran

More articles in International Journal of Intelligent Information Technologies (IJIIT) from IGI Global
Bibliographic data for series maintained by Journal Editor ().