Decision-based fusion of pansharpened VHR satellite images using two-level rolling self-guidance filtering and edge information

F. Samadzadegan, A. Toosi, F. Dadrass javan, A. Stein

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Abstract

Pan-sharpening (PS) fuses low-resolution multispectral (LR MS) images with high-resolution panchromatic (HR PAN) bands to produce HR MS data. Current PS methods either better maintain the spectral information of MS images, or better transfer the PAN spatial details to the MS bands. In this study, we propose a decision-based fusion method that integrates two basic pan-sharpened very-high-resolution (VHR) satellite imageries taking advantage of both images simultaneously. It uses two-level rolling self-guidance filtering (RSGF) and Canny edge detection. The method is tested on Worldview (WV)-2 and WV-4 VHR satellite images on the San Fransisco and New York areas, using four PS algorithms. Results indicate that the proposed method increased the overall spectral-spatial quality of the base pan-sharpened images by 7.2% and 9.8% for the San Fransisco and New York areas, respectively. Our method therefore effectively addresses decision-level fusion of different base pan-sharpened images.
Original languageEnglish
Title of host publicationISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
EditorsM.R. Delavar, R. Ali Abbaspour, S. Farzaneh
Place of PublicationTehran
PublisherCopernicus
Pages691-698
VolumeX-4/W1-2022
DOIs
Publication statusPublished - 14 Jan 2023
EventGeoSpatial Conference 2022 - virtual, Tehran, Iran, Islamic Republic of
Duration: 19 Feb 202322 Feb 2023
https://www.sru.ac.ir/en/4860-2/

Publication series

NameISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
PublisherCopernicus
ISSN (Print)2194-9042

Conference

ConferenceGeoSpatial Conference 2022
Country/TerritoryIran, Islamic Republic of
CityTehran
Period19/02/2322/02/23
OtherJoint 6th SMPR and 4th GIResearch Conferences
Internet address

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