An InSAR Interferogram Filtering Method Based on Multi-Level Feature Fusion CNN.

Yang, Wang; He, Yi; Yao, Sheng; Zhang, Lifeng; Cao, Shengpeng; Wen, Zhiqing

Yang, Wang; He, Yi; Yao, Sheng; Zhang, Lifeng; Cao, Shengpeng; Wen, Zhiqing.

Afiliación

Yang W; Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China.
He Y; National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, China.
Yao S; Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou 730070, China.
Zhang L; Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China.
Cao S; National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, China.
Wen Z; Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou 730070, China.

Sensors (Basel) ; 22(16)2022 Aug 09.

Article en En | MEDLINE | ID: mdl-36015725

Palabras clave

convolutional neural network (CNN); feature learning; interferogram filtering; interferometric synthetic radar (InSAR)

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Qualitative_research Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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