Remote sensing image fusion based on PCA and wavelets

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F23%3A63570458" target="_blank" >RIV/70883521:28140/23:63570458 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/chapter/10.1007/978-981-19-7524-0_3" target="_blank" >https://link.springer.com/chapter/10.1007/978-981-19-7524-0_3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-981-19-7524-0_3" target="_blank" >10.1007/978-981-19-7524-0_3</a>

Result language

angličtina

Original language name

Remote sensing image fusion based on PCA and wavelets

Original language description

Remote sensing, in the recent past, has witnessed continuous developments in the field of environment, agriculture and security. The satellites obtain the information in two domains—spectral resolution and spatial resolution which are highlighted in the Low-Resolution Multi-Spectral (LRMS) and the Panchromatic (PAN) images, respectively. Remote sensing image fusion aims to integrate this complimentary information of the PAN and the LRMS images. In this paper, this has been achieved through Principal Component Analysis (PCA) and Discrete Wavelet Transformation (DWT). The proposed fusion approach involves extraction of the Ist Principal Component (PC) of the LRMS image while simultaneously performing Morphological Hat Transformation on PAN image. The resultant images undergo Discrete Wavelet Transformation to produce approximation (cA) and detail (cD) coefficients. These coefficients are fused using appropriate fusion rules, and the resultant images are synthesized using Inverse Discrete Wavelet Transformation (IDWT) to produce the final fused image. The results have been evaluated which are presented in the later sections. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Smart Innovation, Systems and Technologies

ISBN

978-981-19752-3-3

ISSN

2190-3018

e-ISSN

2190-3026

Number of pages

9

Pages from-to

25-33

Publisher name

Springer Science and Business Media Deutschland GmbH

Place of publication

Berlín

Event location

Aizawl

Event date

Jun 18, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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