SAR Image Change Detection via Multiple-Window Processing with Structural Similarity
In this paper, a synthetic aperture radar (SAR) change detection approach is proposed based on a structural similarity index measure (SSIM) and multiple-window processing (MWP). The proposed scheme is performed in two steps: (1) generation of a coherence image based on MWP associated with SSIM and (...
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MDPI AG
2021-10-01
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Online Access: | https://www.mdpi.com/1424-8220/21/19/6645 |
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author | Minseok Kang Jaemin Baek |
author_facet | Minseok Kang Jaemin Baek |
author_sort | Minseok Kang |
collection | DOAJ |
description | In this paper, a synthetic aperture radar (SAR) change detection approach is proposed based on a structural similarity index measure (SSIM) and multiple-window processing (MWP). The proposed scheme is performed in two steps: (1) generation of a coherence image based on MWP associated with SSIM and (2) gamma correction (GC) filtering. The proposed method is capable of providing a high-quality coherence image because the MWP operation based on SSIM has high sensitivity to the similarity measure for intensity between two SAR images. By finding an optimum value of order of GC, the proposed method can considerably reduce the effect of speckle noise on the coherence image, while retaining nearly all the information related to changed region involved in the change detection map. Several experimental results are presented to demonstrate the effectiveness of the proposed scheme. |
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id | doaj.art-c3abec905b274b50bcab69a542e3e4ec |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T06:51:30Z |
publishDate | 2021-10-01 |
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series | Sensors |
spelling | doaj.art-c3abec905b274b50bcab69a542e3e4ec2023-11-22T16:49:14ZengMDPI AGSensors1424-82202021-10-012119664510.3390/s21196645SAR Image Change Detection via Multiple-Window Processing with Structural SimilarityMinseok Kang0Jaemin Baek1Division of Electrical, Electronic, and Control Engineering, Kongju National University, Cheonan 31080, KoreaDepartment of Mechanical Engineering, Gangneung-Wonju National University, Wonju 26403, KoreaIn this paper, a synthetic aperture radar (SAR) change detection approach is proposed based on a structural similarity index measure (SSIM) and multiple-window processing (MWP). The proposed scheme is performed in two steps: (1) generation of a coherence image based on MWP associated with SSIM and (2) gamma correction (GC) filtering. The proposed method is capable of providing a high-quality coherence image because the MWP operation based on SSIM has high sensitivity to the similarity measure for intensity between two SAR images. By finding an optimum value of order of GC, the proposed method can considerably reduce the effect of speckle noise on the coherence image, while retaining nearly all the information related to changed region involved in the change detection map. Several experimental results are presented to demonstrate the effectiveness of the proposed scheme.https://www.mdpi.com/1424-8220/21/19/6645change detectionmultiple-window processinggamma correctionsynthetic aperture radarstructural similarity index measure |
spellingShingle | Minseok Kang Jaemin Baek SAR Image Change Detection via Multiple-Window Processing with Structural Similarity Sensors change detection multiple-window processing gamma correction synthetic aperture radar structural similarity index measure |
title | SAR Image Change Detection via Multiple-Window Processing with Structural Similarity |
title_full | SAR Image Change Detection via Multiple-Window Processing with Structural Similarity |
title_fullStr | SAR Image Change Detection via Multiple-Window Processing with Structural Similarity |
title_full_unstemmed | SAR Image Change Detection via Multiple-Window Processing with Structural Similarity |
title_short | SAR Image Change Detection via Multiple-Window Processing with Structural Similarity |
title_sort | sar image change detection via multiple window processing with structural similarity |
topic | change detection multiple-window processing gamma correction synthetic aperture radar structural similarity index measure |
url | https://www.mdpi.com/1424-8220/21/19/6645 |
work_keys_str_mv | AT minseokkang sarimagechangedetectionviamultiplewindowprocessingwithstructuralsimilarity AT jaeminbaek sarimagechangedetectionviamultiplewindowprocessingwithstructuralsimilarity |