Fusion of space-borne multi-baseline and multi-frequency interferometric   results based on extended Kalman filter to generate high quality DEMs

doi:10.1016/j.isprsjprs.2015.11.005

CORC > 北京大学 > 地球与空间科学学院

	Fusion of space-borne multi-baseline and multi-frequency interferometric results based on extended Kalman filter to generate high quality DEMs
	Zhang, Xiaojie ; Zeng, Qiming ; Jiao, Jian ; Zhang, Jingfa
刊名	ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
	2016
关键词	Digital Elevation Model (DEM) Interferometric Synthetic Aperture Radar (InSAR) Fusion Extended Kalman Filter (EKF) Multi-baseline Multi-frequency SATELLITE RADAR INTERFEROMETRY DIGITAL ELEVATION MODEL SAR INTERFEROMETRY PHASE STATISTICS RECONSTRUCTION INTERFEROGRAMS PARAMETERS LAYOVER
DOI	10.1016/j.isprsjprs.2015.11.005
英文摘要	Repeat-pass Interferometric Synthetic Aperture Radar (InSAR) is a technique that can be used to generate DEMs. But the accuracy of InSAR is greatly limited by geometrical distortions, atmospheric effect, and decorrelations, particularly in mountainous areas, such as western China where no high quality DEM has so far been accomplished. Since each of InSAR DEMs generated using data of different frequencies and baselines has their own advantages and disadvantages, it is therefore very potential to overcome some of the limitations of InSAR by fusing Multi-baseline and Multi-frequency Interferometric Results (MMIRs). This paper proposed a fusion method based on Extended Kalman Filter (EKF), which takes the InSAR-derived DEMs as states in prediction step and the flattened interferograms as observations in control step to generate the final fused DEM. Before the fusion, detection of layover and shadow regions, low-coherence regions and regions with large height error is carried out because MMIRs in these regions are believed to be unreliable and thereafter are excluded. The whole processing flow is tested with TerraSAR-X and Envisat ASAR datasets. Finally, the fused DEM is validated with ASTER GDEM and national standard DEM of China. The results demonstrate that the proposed method is effective even in low coherence areas. (C) 2015 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.; National Natural Science Foundation of China [41171267]; National High Technology Research and Development Program of China [2011AA120402-02]; ESA via ESA-MOST Dragon 3 Cooperation Program [10665]; SCI(E); EI; ARTICLE; 32-44; 111
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/437877]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Zhang, Xiaojie,Zeng, Qiming,Jiao, Jian,et al. Fusion of space-borne multi-baseline and multi-frequency interferometric results based on extended Kalman filter to generate high quality DEMs[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2016.
APA	Zhang, Xiaojie,Zeng, Qiming,Jiao, Jian,&Zhang, Jingfa.(2016).Fusion of space-borne multi-baseline and multi-frequency interferometric results based on extended Kalman filter to generate high quality DEMs.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING.
MLA	Zhang, Xiaojie,et al."Fusion of space-borne multi-baseline and multi-frequency interferometric results based on extended Kalman filter to generate high quality DEMs".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2016).