A review on surface deformation evaluation using multitemporal SAR interferometry techniques

Besoya, M.; Govil, Himanshu; Bhaumik, Pralay

doi:10.1007/s41324-020-00344-8

Cited by 18 publications

(5 citation statements)

References 59 publications

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“…It is a new attempt to reduce speckle noise interference while keeping the details as much as possible in SAR image change monitoring. However, the classical model still regards the SAR image as a smooth image, which is equivalent to the effect of the assumption that the clustering center in the algorithm is constant in SAR image change monitoring, and cannot effectively handle the slow change in the local area, which is very detrimental to maintaining the details of the image [19]. With the increase of the number of filters, the detail information is gradually missing, but the regional consistency is better and the noise interference is getting weaker and weaker.…”

Section: Discussionmentioning

confidence: 99%

Monitoring and Mathematical Model Analysis of Dynamic Changes in Land Resources Based on SAR Sensor Image

Liu¹

2021

Journal of Sensors

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The monitoring and analysis of dynamic changes in land resources can detect the changes of land aimed at a single-band or multiband remote sensing image of multiple phases in a given region or target with image processing methods and can also extract the change information and realize remote sensing monitoring through the comprehensive analysis of multiphase remote sensing images. Synthetic aperture radar (SAR) image change monitoring technology, with the advantages of high resolution, high precision, real-time service, and rapid imaging, can achieve qualitative or quantitative analysis of targets and is gradually widely used in quarterly monitoring, emergency monitoring, postbatch verification, law-enforcement inspection and land inspection, and other remote sensing data acquisitions and analyses. Therefore, on the basis of summarizing the research results of previous research works, this paper expounded the current situation and significance of the researches on the monitoring and analysis of dynamic changes in land resources; elaborated the development background, current situation, and future challenges of SAR sensor data; introduced the methods and principles of band setting, polarization mode, geometric correction, and image filtering; proposed the status target identification of land resources; explored the dynamic information discovery of land resources; conducted the dynamic change monitoring of land resources based on SAR sensor data; analyzed the basis and characteristics of SAR sensor data; performed the generalization and optimization of land resource information; demonstrated the dynamic change analysis of land resources based on SAR sensor data; compared the acceptance ability and accuracy of SAR sensor data; and discussed the discovery and extraction of dynamic information of land resources. The results show that the SAR sensor data can monitor the characteristics of scattering points in land resource observation scenes and can obtain the change information of ground object by distance component and band component, so that the SAR system can make two-dimensional imaging of land resources directly in front of the receiving platform. Thus, the SAR data obtained by multisystem parameters shows great application potential in land resource monitoring, which provides the possibility of decoupling to remove land resources and surface roughness and thus provides possible solutions for land resource analysis in complex environment. The results of this paper provide a reference for the follow-up studies on the monitoring and analysis of dynamic changes in land resources based on SAR sensor data.

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Section: Discussionmentioning

confidence: 99%

Monitoring and Mathematical Model Analysis of Dynamic Changes in Land Resources Based on SAR Sensor Image

Liu¹

2021

Journal of Sensors

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“…Once the topographic contribution has been removed from the interferometric products [41], the result is a differential interferogram. When several points on the earth's surface are slowly changing their relative position (for example, in the event of subsidence, landslide, and earthquake) at different times between two SAR images, the additive phase term appears in the interferometric phase using the absolute interferometric phase as follows.…”

Section: Interferogram Generation and Phasementioning

confidence: 99%

Earthquake-Induced Ground Deformation Assessment via Sentinel-1 Radar Aided at Darbandikhan Town

et al. 2022

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Deformation monitoring has conventional increasing consideration in recent years due to its great importance in modern engineering. Darbandikhan town was hit by a strong earthquake on 12th November 2017 which is the Sarpol-e Zahab earthquake. Interferometric Synthetic Aperture Radar (InSAR) technique has been used to investigate Darbandikhan town stability and the surrounding areas of the Kurdistan region in Iraq. The purpose of this research is to estimate the ground vertical displacement induced by the earthquake as well as the east-west deformation components. Moreover, previous research covered more of Iran’s side country that the earthquake had an impact on with little on Iraq’s side (Northern-eastern of Iraq), so it was worth researching on Darbandikhan town and surrounding structures to estimate the displacement on its infrastructures. For this study, two pairs of Sentinel-1 Synthetic Aperture Radar (SAR) images are used from each ascending and descending tracks over the study area to validate the work. Then, two differential interferograms are created from these images, along Darbandikhan town and the surrounding areas. These differential interferograms are then converted to line of sight (LOS) displacements using open source software (SNAP 8.0). The overall vertical displacement of the residential area of Darbandikhan was estimated from -4 to -10 cm after the earthquake, and the overall east-west displacement was ranging from 2 to 6.4 cm. The current study does not only examine the northern east of Iraq but the whole area of Iran and Iraq in general that lies within the influence of the earthquake. This research could be useful to estimate the overall deformation of Darbandikhan town in particular and the whole area in general. Therefore, the authorities and civil engineers could think of more sustainable buildings and structures before they start to plan within the area of earthquake impact.

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“…Для наблюдения за деформациями поверхности применяют различные методы: интерферометрию [1][2][3], фотограмметрию [4], а также классические инструментальные методы наблюдений.…”

Section: Introductionunclassified

Determination procedure of linear parameters of movement processes from digital terrain models in Khibiny apatite–nepheline ore mining

Zherlygina,

Mustafin,

Vasiliev

et al. 2023

gzh

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Surveying of ground and underground movements aims to determine and adjust the displacement parameters, and the type and size of deformation of undermined objects. The authors describe application of digital terrain models to assess movement process parameters as a case-study of Khibiny apatite-nepheline ore mining. The possibility to determine linear parameters of movements in the ground surface area inaccessible using classical methods is illustrated. The source information was the aerial laser scanning data obtained in 2015 to 2020 in Rasvumchorr and Kukisvumchorr Mines. The data were classified using TerraSolid TerraScan tools. Then, the digital terrain models were constructed in Microstation. The further digital modeling of the terrain was carried out in Golden Software's Surfer with spatial resolution and some spatial interpolation techniques. Using the resultant digital models, the surfaces were constructed in Autodesk AutoCAD. The surfaces were used to draw cross-sections in the coordinate grid in Rhinoceros 6. Over the observation period from 2015 to 2020, by the authors' opinion, the method of kriging proved to be the best out of the methods tested in Rasvumchorr and Kukisvumchorr Mines. The method of spatial interpolation provided the least scatter of data, the lowest minimum and maximum deviations and the least mean square deviation in the majority of tests. The research findings allow expecting that the described methods can enable safe mining at the minimum time consumption.

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A review on surface deformation evaluation using multitemporal SAR interferometry techniques

Cited by 18 publications

References 59 publications

Monitoring and Mathematical Model Analysis of Dynamic Changes in Land Resources Based on SAR Sensor Image

Monitoring and Mathematical Model Analysis of Dynamic Changes in Land Resources Based on SAR Sensor Image

Earthquake-Induced Ground Deformation Assessment via Sentinel-1 Radar Aided at Darbandikhan Town

Determination procedure of linear parameters of movement processes from digital terrain models in Khibiny apatite–nepheline ore mining

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