Urban Areas Enhancement in Multitemporal SAR RGB Images Using Adaptive Coherence Window and Texture Information

被引:33
作者
Amitrano, Donato [1 ]
Belfiore, Veronica [1 ]
Cecinati, Francesca [2 ]
Di Martino, Gerardo [1 ]
Iodice, Antonio [1 ]
Mathieu, Pierre-Philippe [2 ]
Medagli, Stefano [1 ]
Poreh, Davod [1 ]
Riccio, Daniele [1 ]
Ruello, Giuseppe [1 ]
机构
[1] Univ Naples Federico II, Dept Elect Engn & Informat Technol, I-80125 Naples, Italy
[2] European Space Agcy, ESA ESRIN, I-00044 Frascati, Italy
关键词
Data representation; fuzzy logic; multitemporal synthetic aperture radar (SAR); urban areas; SELF-ORGANIZING MAPS; CLASSIFICATION; FRAMEWORK;
D O I
10.1109/JSTARS.2016.2555340
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we present a technique for improving the representation of built-up features in model-based multitemporal synthetic aperture radar (SAR) RGB composites. The proposed technique exploits the multitemporal adaptive processing (MAP3) framework to generate an a priori information which is used to implement an adaptive selection of the coherence window size. Image texture is used to support the coherence information in case of decorrelation. The coherence information, powered by texture analysis, and combined with backscattering amplitude, provides a unique representation of built-up features. This allows for an immediate detection of urban agglomerates by human operators, and is an advantaged starting point for urban area extraction algorithms.
引用
收藏
页码:3740 / 3752
页数:13
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