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Land cover changes detection in polarimetric SAR data using algebra, similarity, and distance based methods
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| Amir Najafi, Mahdi Hasanlou * |
| University of Tehran |
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Abstract: (2624 Views) |
| Monitoring and surveillance changes around the world need powerful methods and techniques; consequently, detection, visualization, and assessment of significant changes are essential for planning and management. Incorporating PolSAR images as the result of interactions between electromagnetic waves and target due to a high spatial resolution almost one meter can be incorporated for studying changes on the Earth's surface. Analyzing full-polarized radar images comparing to single polarized radar images used amplitude and phase information of the surface in different available polarization (HH, HV, and VV). This study is based on the decomposition of full-polarized airborne UAVSAR images and integration of these features with algebra, similarity, and distance based methods for change detecting purposes using two real datasets. Assessing the accuracy of the method is implemented using ground truth data and different criteria for evaluating such as overall accuracy (OA), area under ROC curve (AUC) and false alarms rate (FAR). The output results showed that algebra change detection method has superiority to detect changes comparing to other implemented methods. Also, numerical results showed the superiority of algebra change detection algorithms comparing to others. |
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| Keywords: Change detection, Full Polarized radar images, algebra, distance-based, similarity-based. |
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Full-Text [PDF 2750 kb]
(1518 Downloads)
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Type of Study: Research |
Subject:
RS
Received: 2017/05/9 | Accepted: 2017/12/12 | Published: 2018/09/22
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