Next Article in Journal
Are There Sufficient Landsat Observations for Retrospective and Continuous Monitoring of Land Cover Changes in China?
Previous Article in Journal
The Depths of Cast Shadow
Open AccessArticle

An Improved Stanford Method for Persistent Scatterers Applied to 3D Building Reconstruction and Monitoring

School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 3JD, UK
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(15), 1807;
Received: 14 June 2019 / Revised: 21 July 2019 / Accepted: 30 July 2019 / Published: 1 August 2019
(This article belongs to the Section Urban Remote Sensing)
Persistent scatterers interferometric Synthetic Aperture Radar (PS-InSAR) is capable of precise topography measurement up to sub-meter scale and monitoring subtle deformation up to mm/year scale for all the radar image pixels with stable radiometric characteristics. As a representative PS-InSAR method, the Stanford Method for Persistent Scatterers (StaMPS) is widely used due to its high density of PS points for both rural and urban areas. However, when it comes to layover regions, which usually happen in urban areas, the StaMPS is limited locally. Moreover, the measurement points are greatly reduced due to the removal of adjacent PS pixels. In this paper, an improved StaMPS method, called IStaMPS, is proposed. The PS pixels are selected with high density by the improved PS selection strategy. Moreover, the topography information not provided in StaMPS can be accurately measured in IStaMPS. Based on the data acquired by TerraSAR-X/TanDEM-X over the Terminal 3 E (T3 E) site of Beijing Capital International Airport and the Chaobai River of Beijing Shunyi District, a comparison between StaMPS-retrieved results and IStaMPS-retrieved ones was performed, which demonstrated that the density of PS points detected by IStaMPS is increased by about 1.8 and 1.6 times for these two areas respectively. Through comparisons of local statistical results of topography estimation and mean deformation rate, the improvement granted by the proposed IStaMPS was demonstrated for both urban areas with complex buildings or man-made targets and non-urban areas with natural targets. In terms of the spatiotemporal deformation variation, the northwest region of T3 E experienced an exceptional uplift during the period from June 2012 to August 2015, and the maximum uplift rate is approximately 4.2 mm per year. View Full-Text
Keywords: InSAR; PS-InSAR; StaMPS; topography measurement; deformation monitoring InSAR; PS-InSAR; StaMPS; topography measurement; deformation monitoring
Show Figures

Graphical abstract

MDPI and ACS Style

Yang, B.; Xu, H.; Liu, W.; Ge, J.; Li, C.; Li, J. An Improved Stanford Method for Persistent Scatterers Applied to 3D Building Reconstruction and Monitoring. Remote Sens. 2019, 11, 1807.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop