Interpretation and processing of synthetic aperture radar (SAR) imagery is negatively affected by speckle noise, that can be faced by proper despeckling pre-processing. In this work, we propose a simple approach for the despeckling of multi-frequency SAR data under the hypotheses that they are relevant to bare soil surfaces and that are acquired by the same sensor, e.g., AIRSAR. The proposed approach is based on a frequency-compensation step, where the dependence of the signal strength upon operating frequency is compensated by means of surface scattering model suited to natural surfaces. Once such a pre-processing step is carried out, any despeckling filter suited to SAR time series filtering can be applied. Quantitative indicators evaluated on both simulated and actual SAR data reveal the benefits of the proposed compensation step w.r.t. pure multitemporal and single-channel filtering.
Despeckling of Multifrequency SAR Data Using Electromagnetic Scattering Models / Di Martino, Gerardo; Di Simone, Alessio; Iodice, Antonio; Riccio, Daniele; Ruello, Giuseppe. - 2023:(2023), pp. 7734-7737. ( 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 Pasadena, CA, USA 2023) [10.1109/IGARSS52108.2023.10282271].
Despeckling of Multifrequency SAR Data Using Electromagnetic Scattering Models
Di Martino, Gerardo;Di Simone, Alessio;Iodice, Antonio;Riccio, Daniele;Ruello, Giuseppe
2023
Abstract
Interpretation and processing of synthetic aperture radar (SAR) imagery is negatively affected by speckle noise, that can be faced by proper despeckling pre-processing. In this work, we propose a simple approach for the despeckling of multi-frequency SAR data under the hypotheses that they are relevant to bare soil surfaces and that are acquired by the same sensor, e.g., AIRSAR. The proposed approach is based on a frequency-compensation step, where the dependence of the signal strength upon operating frequency is compensated by means of surface scattering model suited to natural surfaces. Once such a pre-processing step is carried out, any despeckling filter suited to SAR time series filtering can be applied. Quantitative indicators evaluated on both simulated and actual SAR data reveal the benefits of the proposed compensation step w.r.t. pure multitemporal and single-channel filtering.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
