Open AccessSmart pansharpening approach using kernel‐based image filtering
Author(s) -
Smadi Ahmad AL,
Yang Shuyuan,
Mehmood Atif,
Abugabah Ahed,
Wang Min,
Bashir Muzaffar
Publication year - 2021
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/ipr2.12251
Subject(s) - panchromatic film , multispectral image , image fusion , artificial intelligence , computer science , computer vision , composite image filter , kernel (algebra) , filter (signal processing) , image (mathematics) , remote sensing , mathematics , geography , combinatorics
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.