Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/169661
Title: An Adaptive Multilook Approach for Small Sets of Multitemporal SAR Data Based on Adaptive Joint Data Vector
Authors: Huina Song;Yingfei Sun;Robert Wang;Ning Li;Bowen Zhang;Yingjie Wang;Wenbo Fei
Year: 2017
Publisher: IEEE
Abstract: The multitemporal interferometric synthetic aperture radar (InSAR) technique is a potential tool for measuring digital elevation models and surface deformation. It has the advantage of high precision, competitive spatial resolution, and wide coverage. To improve the accuracy of the final results, some adaptive multilook strategies have been proposed in which the identification of statistically homogeneous pixels (SHPs) is the key task. However, these methods are not always reliable in the case of small data sets. To improve this reliability, SHPs are identified based on the adaptive joint data vector comprising of temporal sample and spatial information in this letter. Additionally, the formulation of adaptive joint data vector is combined with local spatial features of SAR images. The presented adaptive multilook approach can be used in many interferometric applications, such as InSAR data filtering and coherence estimation. Experiments on six TerraSAR-X stripmap images of Tianjin in China validate the feasibility and effectiveness of the proposed approach.
URI: http://localhost/handle/Hannan/169661
volume: 14
issue: 7
More Information: 1161,
1165
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7934089.pdf3.83 MBAdobe PDF
Title: An Adaptive Multilook Approach for Small Sets of Multitemporal SAR Data Based on Adaptive Joint Data Vector
Authors: Huina Song;Yingfei Sun;Robert Wang;Ning Li;Bowen Zhang;Yingjie Wang;Wenbo Fei
Year: 2017
Publisher: IEEE
Abstract: The multitemporal interferometric synthetic aperture radar (InSAR) technique is a potential tool for measuring digital elevation models and surface deformation. It has the advantage of high precision, competitive spatial resolution, and wide coverage. To improve the accuracy of the final results, some adaptive multilook strategies have been proposed in which the identification of statistically homogeneous pixels (SHPs) is the key task. However, these methods are not always reliable in the case of small data sets. To improve this reliability, SHPs are identified based on the adaptive joint data vector comprising of temporal sample and spatial information in this letter. Additionally, the formulation of adaptive joint data vector is combined with local spatial features of SAR images. The presented adaptive multilook approach can be used in many interferometric applications, such as InSAR data filtering and coherence estimation. Experiments on six TerraSAR-X stripmap images of Tianjin in China validate the feasibility and effectiveness of the proposed approach.
URI: http://localhost/handle/Hannan/169661
volume: 14
issue: 7
More Information: 1161,
1165
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7934089.pdf3.83 MBAdobe PDF
Title: An Adaptive Multilook Approach for Small Sets of Multitemporal SAR Data Based on Adaptive Joint Data Vector
Authors: Huina Song;Yingfei Sun;Robert Wang;Ning Li;Bowen Zhang;Yingjie Wang;Wenbo Fei
Year: 2017
Publisher: IEEE
Abstract: The multitemporal interferometric synthetic aperture radar (InSAR) technique is a potential tool for measuring digital elevation models and surface deformation. It has the advantage of high precision, competitive spatial resolution, and wide coverage. To improve the accuracy of the final results, some adaptive multilook strategies have been proposed in which the identification of statistically homogeneous pixels (SHPs) is the key task. However, these methods are not always reliable in the case of small data sets. To improve this reliability, SHPs are identified based on the adaptive joint data vector comprising of temporal sample and spatial information in this letter. Additionally, the formulation of adaptive joint data vector is combined with local spatial features of SAR images. The presented adaptive multilook approach can be used in many interferometric applications, such as InSAR data filtering and coherence estimation. Experiments on six TerraSAR-X stripmap images of Tianjin in China validate the feasibility and effectiveness of the proposed approach.
URI: http://localhost/handle/Hannan/169661
volume: 14
issue: 7
More Information: 1161,
1165
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7934089.pdf3.83 MBAdobe PDF