Title | ||
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Unification Of Sar Image Formation And Post-Processing For Environmental Remote Sensing Application |
Abstract | ||
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Aimed at the problems that SAR (Synthetic Aperture Radar) environment parameter inversion and data processing are lack of both overall design and synergy, this paper proposed a novel unification scheme for environmental remote sensing application. Compared to the reality that application follows data processing in the frontend, the performance of application is highlighted as the ultimate objective in the proposed scheme, where the frontend procedures should serve the backend application to get a better result. Frontend processing is divided into three parts: system design, imaging processing and post-processing procedure, while backend processing is categorized as image processing and environment parameter inversion. The concept of unification scheme focuses on the feedbacks between frontend and backend, and some demonstrations are also given in the following sections. |
Year | DOI | Venue |
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2016 | 10.1109/IGARSS.2016.7729967 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
application-oriented, SAR, unification scheme | Computer vision,Radar imaging,Data processing,Computer science,Synthetic aperture radar,Remote sensing,Image processing,Man-portable radar,Systems design,Remote sensing application,Inverse synthetic aperture radar,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
3 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jie Chen | 1 | 23 | 12.76 |
Huadong Guo | 2 | 459 | 84.66 |
Wei Yang | 3 | 36 | 12.99 |
Xinwu Li | 4 | 110 | 26.57 |
Pengbo Wang | 5 | 45 | 18.11 |
Lu Zhang | 6 | 3 | 4.09 |
Kai Wang | 7 | 1 | 1.37 |
Wenjin Wu | 8 | 16 | 4.54 |
Huiying Liu | 9 | 0 | 2.03 |