| Paper Details: | Downloads: 3622 |
| Serial Number: | P1152004678
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| Title: | Surface Monitoring by Coherent Change Detection of Time Series (CCDTS) Using Interferometric SAR Sentinel-1 Data
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| Authors: | Sayed A. Mohamed and Ayman H. Nasr and Ashraf. K. Helmy
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| Abstract: | Monitoring surface changes caused by natural or various man-made activities are a key requirement in order to prevent damages to structures and utilities. Natural activities could be landslides, earthquakes, coastal erosion or flooding, while the human activities may include mining, agricultural, destruction, or construction activities. These require accurate and detailed spatial and temporal measurements. Interferometric Synthetic Aperture Radar (InSAR) techniques are unique remote sensing approaches that can be used to map topography and measure surface changes. This work proposes an approach that enables the pixel-wise surface monitoring assessment, which is based on Coherent Change Detection of Time Series (CCDTS) methods, then applied to a stack of InSAR images. A fundamental performance appraisal is provided by processing Sentinel-1A data, using interpretation of optical imagery, and cross-checked with data collected on site. The results showed that the proposed approach has the ability to identify the smallest detail of the changes. Due to the high sensitivity characterizing the Synthetic Aperture Radar (SAR) data, it performs better than traditional change procedures of the optical imagery.
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| Keywords: | Synthetic Aperture Radar Interferometry, Coherence of Time Series, Surface Changes, Remote Sensing, Sentinel-1
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| Journal/Conference: | International Journal of Graphics, Vision and Image Processing
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| Volume: | 20
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| Issue: | 1
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| Submission Date: | 1/21/2020 12:00:00 AM
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| Review Date: | 4/20/2020 12:00:00 AM
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| Publishing Date: | 5/22/2020 12:00:00 AM
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| Article Downloads: | 3622
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