Affiliation:
1. LIECAR Laboratory, Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Cusco 08003, Peru
Abstract
Synthetic aperture radar (SAR) raw data do not have a direct application; therefore, SAR raw signal processing algorithms are used to generate images that are used for various required applications. Currently, there are several algorithms focusing SAR raw data such as the range-Doppler algorithm, Chirp Scaling algorithm, and Omega-k algorithm, with these algorithms being the most used and traditional in SAR raw signal processing. The most prominent algorithm that operates in the frequency domain for focusing SAR raw data obtained by a synthetic aperture radar with large synthetic apertures is the Omega-k algorithm, which operates in the two-dimensional frequency domain; therefore, in this paper, we used the Omega-k algorithm to produce SAR images and modify the Omega-k algorithm by adding the Doppler factor to improve the accuracy of SAR raw data processing obtained by the continuous wave and pulsed frequency modulated linear frequency modulated radar system from the surfaces of interest. On the other hand, for the case of unmanned aerial vehicle-borne linear frequency modulated continuous wave (LFM-CW) SAR systems, we added motion compensation to the modified Omega-k algorithm. Finally, the testing and validation of the developed Omega-k algorithm used simulated and real SAR raw data for both pulsed synthetic aperture and continuous wave radars. The real SAR raw data used for the validation of the modified Omega-k algorithm were the raw data obtained by the micro advanced synthetic aperture radar (MicroASAR) system, which is an LFM-CW synthetic aperture radar installed on board an unmanned aerial system and the raw data obtained by European remote sensing (ERS-2) satellite with a synthetic aperture radar installed.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Reference30 articles.
1. Using C-Band Synthetic Aperture Radar Data to Monitor Forested Wetland Hydrology in Maryland’s Coastal Plain, USA;Lang;IEEE Trans. Geosci. Remote Sens.,2008
2. Sravani, N., Mitravinda, R., Kumar, P.R., Neelima, N., and Sailaja, K.L. (2023, January 23–25). ACMapping: Agricultural Crop Mapping/Retrieval Using Synthetic Aperture Radar (SAR) Data. Proceedings of the 2023 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India.
3. Matsuoka, M., and Yamazaki, F. (2002, January 24–28). Application of the damage detection method using SAR intensity images to recent earthquakes. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Toronto, ON, Canada.
4. AIS-Based Evaluation of Target Detectors and SAR Sensors Characteristics for Maritime Surveillance;Pelich;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2015
5. Sui, X., Liu, M., and Li, Y. (2020, January 23–25). Synthetic Aperture Radar Imaging of Abrupt Underwater Topography. Proceedings of the 2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP), Nanjing, China.