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An adaptive multilooking scheme for multi-temporal insar data
- Publication Year :
- 2018
-
Abstract
- Multilooking is an effective speckle reduction tool for InSAR images. However, it has some limitations. Based on the De-specKS and NL-SAR algorithms, an adaptive multilooking scheme for multi-temporal InSAR data has been proposed in this paper. Simulated and real SAR data sets have been employed to evaluate the performance of this scheme. The results show that, by taking advantages of DespecKS and NL-SAR, the proposed scheme presents better detail preservation and speckle noise reduction performances comparing with these two advanced and classical multilooking algorithms.<br />Peer Reviewed<br />Postprint (published version)
Details
- Database :
- OAIster
- Notes :
- Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció, Zhao, Feng, Mallorquí Franquet, Jordi Joan
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1090516460
- Document Type :
- Electronic Resource