Coastline Extraction from SAR Data using Doppler Centroid Images
| Autor: | Muhammad Amjad Iqbal, Andrei Anghel, Mihai Datcu |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| DOI: | 10.5281/zenodo.6583252 |
| Popis: | Coastline extraction by exploiting optical images is challenging during adverse weather conditions. This letter proposes coastline extraction from synthetic aperture radar (SAR) data. Since collecting in-situ data is expensive and not always possible, the Doppler parameter is used to delineate coastlines when neither in-situ data nor cloud-free optical images are available. We propose a novel coastline extraction method based on classic coastal dynamic variation, such as Doppler centroid (fDC), since the coastline is static and has zero Doppler with respect to the dynamic sea-state. The results of the Doppler-based novel technique allow us to investigate the impact of natural hazards on coastline degradation. We compare the proposed method to state-of-the-art (SOA) coastline extraction methods based on polarimetric correlations and the reference method from Sentinel-2. The results show that using scattering from dual and cross-polarization for coastline extraction is more reliable than using co-polarization. Based on empirical distributions and using the constant false alarm rate (CFAR) method, the relevant threshold has been adapted to distinguish land and sea in an unsupervised manner. We compare the results of polarimetric and Sentinel-2 with Doppler-based fDC coastline extraction, which emphasizes the accuracy of the proposed method for extracting coastlines at full resolution. Manuscript submitted 17 May 2022; revised 7 August 2022; accepted 29 September 2022. Date of publication 13 October 2022; date of current version 28 October 2022. {"references":["Iqbal, M. A., Zhao, Z., ZhiYong, X., & Rehman, S. U. (2020, May). 3-D Localization of UAV and Detection based on Harmonics Index and Spectral Entropy Criteria. In IOP Conference Series: Materials Science and Engineering (Vol. 853, No. 1, p. 012037). IOP Publishing.","M. A. Iqbal, A. Anghel and M. Datcu, \"On the De-Ramping of SLC-IW Tops SAR Data and Ocean Circulation Parameters Estimation,\" IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 6817-6820, doi: 10.1109/IGARSS46834.2022.9884331.","M. A. Iqbal, A. Anghel and M. Datcu, \"Doppler Centroid Estimation for Ocean Surface Current Retrieval from Sentinel-1 SAR Data,\" 2021 18th European Radar Conference (EuRAD), 2022, pp. 429-432, doi: 10.23919/EuRAD50154.2022.9784550.","Rehman, S. U., & Iqbal, M. A. (2019, December). Feature extraction and classification of UAV's acoustic signal using 4-microphones array in a real noisy environment. In Eleventh International Conference on Signal Processing Systems (Vol. 11384, p. 113840E)."]} |
| Databáze: | OpenAIRE |
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