Multi-stage guided-filter for SAR and optical satellites images fusion using Curvelet and Gram Schmidt transforms for maritime surveillance

Synthetic aperture radar (SAR) images depend on the dielectric properties of objects with certain incident angles. Thus, vessels and other metallic objects appear clear in SAR images however, they are difficult to be distinguished in optical images. Synergy of these two types of images leads to not...

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Bibliographic Details
Published inInternational journal of image and data fusion Vol. 14; no. 1; pp. 38 - 57
Main Authors Ghoniemy, Tarek M., Hammad, Mahmoud M., Amein, A. S., Mahmoud, Tarek A.
Format Journal Article
LanguageEnglish
Published Singapore Taylor & Francis 02.01.2023
Taylor & Francis Ltd
Subjects
Computer vision
curvelet transform
Dielectric properties
Gram-Schmidt transform
Image filters
image fusion
Image quality
Landsat
maritime surveillance
Radar imaging
SAR image
Satellite imagery
Surveillance radar
Synthetic aperture radar
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Summary:Synthetic aperture radar (SAR) images depend on the dielectric properties of objects with certain incident angles. Thus, vessels and other metallic objects appear clear in SAR images however, they are difficult to be distinguished in optical images. Synergy of these two types of images leads to not only high spatial and spectral resolutions but also good explanation of the image scene. In this paper, a hybrid pixel-level image fusion method is proposed for integrating panchromatic (PAN), multispectral (MS) and SAR images. The fusion method is performed using Multi-stage guided filter (MGF) for optical images pansharpening, to get high preserving spatial details and nested Gram-Schmidt (GS) and Curvelet-Transform (CVT) methods for SAR and optical images,to increase the quality of the final fused image and benefit from the SAR image properties. The accuracy and performance of the proposed method are appraised using Landsat-8 Operational-Land-Imager (OLI) and Sentinel-1 images subjectively as well as objectively using different quality metrics. Moreover, the proposed method is compared to a number of state-of-the-art fusion techniques. The results show significant improvements in both visual quality and the spatial and spectral evaluation metrics. Consequently, the proposed method is capable of highlighting maritime activity for further processing.
ISSN:1947-9832
1947-9824
DOI:10.1080/19479832.2021.2003446