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Smart pansharpening approach using kernel‐based image filtering

Smart pansharpening approach using kernel‐based image filtering

Authors :
Ahed Abugabah
Muzaffar Bashir
Shuyuan Yang
Atif Mehmood
Min Wang
Ahmad Al Smadi
Source :
IET Image Processing, Vol 15, Iss 11, Pp 2629-2642 (2021)
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

Remote sensing image fusion plays important roles in numerous applications, including monitoring, metrology, and agriculture. Image fusion gathers essential information from several image sources and consolidates them into a single image called a fused image. The fused image involves relevant data, and it is more informative than any other images extracted from one source. This study proposed a pansharpening technique based on image filtering utilising a bilateral filter to generate high‐frequency details from panchromatic image. The various types of side window guided filters are employed to enhance the multispectral band from panchromatic image and then used these filters to adjust spatial data misfortune that happens when images are combined. Experimental results demonstrated that the proposed method provides consistent results concise with reported by the previous research in terms of subjective and objective assessments on remote sensing data.

Details

Language :
English
ISSN :
17519659 and 17519667
Volume :
15
Issue :
11
Database :
OpenAIRE
Journal :
IET Image Processing
Accession number :
edsair.doi.dedup.....d573da082299c0e1584c5de36273b1d0