An adaptive scattering-mechanism-based filtering for multi-temporal pol(In)SAR data

Autor: Zhao, Feng, Mallorquí Franquet, Jordi Joan
Přispěvatelé: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
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Popis: This paper presents a new adaptive filtering method for multi-temporal Pol(In)SAR images' denoising. Based on the polarimetric scattering mechanism of the given PolSAR data, the filtering first classifies all pixels into persistent scatterer pixels (PS pixels) or distributed scatterer pixels (DS pixels). Then they are separately processed according to its nature. The proposed filtering method has been tested on 31 full polarization Radarsat-2 SAR images of Barcelona Airport area. The results show that the speckle has been well reduced while details have been preserved, which indicates the effectiveness of this filtering approach. © VDE VERLAG GMBH  Berlin  Offenbach.
Databáze: OpenAIRE