High-resolution SAR data: new opportunities and challenges for the analysis of urban areas

Soergel, Uwe; Thoennessen, Ulrich; Brenner, Andreas; Stilla, Uwe

doi:10.1049/ip-rsn:20045088

Cited by 59 publications

(25 citation statements)

References 11 publications

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“…The combination of the two deformation measurement methods allows us to monitor the deformation with acceptable expense and identify areas of abnormal deformation in time for appropriate action to be taken. Recently, new-generation satellites with higher resolution and shorter revisiting times have been launched, and thus the accuracy of monitoring deformation from time-series SAR images will be improved further [43,44]. Therefore, along with conventional survey methods such as GPS and leveling methods, high-accuracy and high-density dam stability monitoring results can be expected.…”

Section: Discussionmentioning

confidence: 99%

Three Gorges Dam stability monitoring with time-series InSAR image analysis

Wang

Perissin

Rocca

et al. 2010

Sci. China Earth Sci.

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In this paper, we carried out a combination of permanent scatterer and quasi permanent scatterer time-series InSAR image analyses to extract geometric information over the area of the Three Gorges Dam. For the first time, we measured and analyzed the deformation of the Three Gorges Dam and its surrounding area using 40 SAR images acquired from 2003 to 2008. Our results indicate that the temporal deformation of the left part of the dam has ceased and that the deformation of the dam was influenced by the changing level of the Yangtze River. Seasonal deformation due to varying temperature is also observed. The obtained results agree well with the published results of the Three Gorges Dam deformation obtained by employing conventional survey methods. We also found that there is an area of abnormal subsidence near Zigui County. This paper demonstrates the potential of time-series InSAR image analysis in the monitoring of dam stability and measurement of subsidence.

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Section: Discussionmentioning

confidence: 99%

Three Gorges Dam stability monitoring with time-series InSAR image analysis

Wang

Perissin

Rocca

et al. 2010

Sci. China Earth Sci.

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“…SAR imaging is not subject to weather, sunlight or other conditions, and can observe the target all-weather and all-day [1]. With the development of microelectronics and signal processing, SAR technology has been rapidly developed.…”

Section: Introductionmentioning

confidence: 99%

A Study on Simulation of High Resolution SAR Image of Complex Ground Target

Yang¹,

Gu²,

Tao³

2017

dtcse

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Abstract. SAR (Synthetic Aperture Radar) is used to detect the complex ground target, which can obtain the image of the military target. There is a great difference between the SAR image and the traditional optical image, and SAR image responses the distribution characteristics of the ground target microwave scattering which produces great challenges in the interpretation of the SAR image. A simulator method based on electromagnetic scattering characteristics of the target was presented to obtain SAR image of targets on the ground. According to the turntable imaging model, the method that classification interpolation of digital elevation model of the real ground simulated was used to build the ground structure. And the target's electromagnetic scattering and the RCS (Radar Cross-Section) were computed by the graphical electromagnetic computing (GRECO) method. The accelerating ray-tracing method was applied to compute the interaction between the target and ground. A SAR simulation imaging system was built to simulate the SAR image of a tank target placed in the ground. The simulation result indicated that the simulated image fits the scattering characteristics of the actual object and it could provide recognition template for SAR image interpolation with the ground SAR image simulation based on electromagnetic scattering characteristics.

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“…High-resolution Synthetic Aperture Radar (SAR) sensors, which deliver images with metre or sub-metre resolution, have made it possible to extract and analyse detailed urban information [Soergel et al, 2006;Michaelsen et al, 2010]. In the metre-level geometric resolution SAR data collected by modern space-borne sensors such as TerraSAR-X and Cosmo-SkyMed, the geometric extent of individual objects such as bridges, buildings, and roads becomes visible.…”

Section: Introductionmentioning

confidence: 99%

Detecting the number of buildings in a single high-resolution SAR image

Cao

Yang

2014

European Journal of Remote Sensing

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This paper proposes an effective scheme for detecting the number of buildings in a scene from a single high-resolution Synthetic Aperture Radar (SAR) image. The layover and double bounce echoes in SAR images are detected first as building elements, which are then split, merged, or discarded to make each patch correspond to one building. A model describing the statistical relationship between the number of buildings and the features of the detected building elements is constructed. Based on this model, large building patches are split into the proper number of small patches. This scheme is tested on 3-m and 6-m resolution TerraSAR-X images that cover two sites in different provinces of China, and its advantages and limitations are discussed.

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High-resolution SAR data: new opportunities and challenges for the analysis of urban areas

Cited by 59 publications

References 11 publications

Three Gorges Dam stability monitoring with time-series InSAR image analysis

Three Gorges Dam stability monitoring with time-series InSAR image analysis

A Study on Simulation of High Resolution SAR Image of Complex Ground Target

Detecting the number of buildings in a single high-resolution SAR image

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