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Recently airborne SAR at very high frequencies, such as X- and Ku-bands, has been widely studied for many applications. In these studies, the backscatter properties at different frequencies have been well discussed. However, these properties of the urban objects and structures have not been sufficiently discussed yet. In this paper, we focus on evaluating the difference of Ku- and X-band SAR intensity...
It is still a challenge to obtain the collapsed building distribution from post-disaster polarimetric synthetic aperture radar (SAR) data. This paper proposed a novel approach for extracting the spatial distribution of collapsed buildings using post-disaster RADARSAT-2 SAR data. In this method, non-building areas are removed by using eigen-values λ2 + λ3. Then, the modified Freeman decomposition which...
Remote sensing technology plays an important role in gathering information of social infrastructure damage which is crucial for relief and reconstruction work after strike. Comparatively speaking, radar sensors are capable of observing the ground irrespective of weather conditions or the time of the day, and therefore have been gaining prominence as a reliable tool for grasping the overall picture...
Rapidly obtaining building damage information after the earthquake is vitally important to earthquake rescue and decision making. In this paper, we propose a new framework of building collapse extraction by combining polarimetric information and azimuth time-frequency analysis. The proposed framework consists of two main steps, i.e. open area removal and intact building identification. In the first...
SAR tomography can be used as an add-on to persistent scatterer interferometry (PSI) to increase deformation sampling in urban areas by resolving the frequently occurring layovers that are by definition rejected in the PSI processing. This paper, while focusing on the case of a typical high-rise building in layover, quantitatively assesses the potential gain in deformation sampling achieved by the...
The interferometric coherence map is derived from the cross-correlation of two registered synthetic aperture radar (SAR) images. It can give additional information complementary to the intensity image, or act as an independent information source in many applications. Compared to the plenty of work on SAR intensity statistics, there are quite fewer researches on the statistical characters of interferometric...
InSAR has been widely used in monitoring land subsidence over large area. However, many factors in InSAR processing, such as decorrelation error, atmosphere error, height error and thermal noise limit the accuracy of InSAR measurements. The height error over urban area is particularly the most difficult issue in TerraSAR-X data processing for its shorter wavelength and higher spatial resolution. We...
The new advanced very high resolution (VHR) synthetic aperture radar (SAR) sensors are capable of achieving sub-meter resolution, which offers the opportunity for a fine level of analysis of man-made structures. In this paper, we present a method for the detection and 2-D reconstruction of building radar footprints from VHR SAR scenes. The method is based on the extraction of a set of low-level features...
Multi-signal compressed sensing with total variation (MTV-CS) is developed for tomographic inversion of building structure. Incorporating with prior information of the building object, some particularly aligned pixels are combined via the minimization of the object function, as indicated by total variation regularization. A numerical simulation of scattering and SAR imaging of the buildings and the...
In this paper, a fully automatic building reconstruction method for high resolution interferometric synthetic aperture radar (InSAR) data is presented. This method is based on stochastic geometrical model. Firstly, a building detection procedure is implemented on the big image and the entire scene is divided into building clips. After that, the reconstruction process is utilized for each building...
Building extraction is an important task for SAR applications in many fields, such as urban planning, population distribution, and environment evaluation. In this paper, we focus on high-rise buildings in complex urban scenarios. The specific characteristics of high-rise building in high resolution (HR) SAR images are analyzed firstly. In particular, we explore the contextual information of bright...
Tremendous underground exploitation as subway tunneling, functional facilities excavation in inner-city environments caused potential damages to buildings and bridges over the construction zone. PSInSAR technique and high resolution SAR data provides a powerful tool for slightly surface deformation in recent years. Till now, it is time to use PSInSAR as an operational and mature technique for geodesy...
Rapidly and accurately obtaining collapsed buildings information of the earthquake-stricken areas can help to effectively guide the implementation of the emergency rescue and can reduce disaster losses and casualties. This work is focused on rapid building earthquake damage information detection in urban areas using a single post-earthquake PolSAR data. In this paper, the methods of polarization orientation...
This paper presents the potential of differential synthetic aperture radar (SAR) interferometry to detect the gaps of the displacement rate between the buildings and the land surface. We assumed that the information about building surface displacement can be extracted from single look SAR images whereas the information about land surface deformation can be extracted from multi look SAR images. The...
Aimed at the problems that SAR (Synthetic Aperture Radar) environment parameter inversion and data processing are lack of both overall design and synergy, this paper proposed a novel unification scheme for environmental remote sensing application. Compared to the reality that application follows data processing in the frontend, the performance of application is highlighted as the ultimate objective...
A method of building height extraction from multi-polarization SAR imagery, taking radarsat-2 as an example, was proposed based on backscatter model. First, the connected component of double-scatter of the buildings in the image was analyzed and its contribution to radar cross section was got simultaneously—a case study in urban areas of Beijing, China. Then, optimal polarized combination was utilized,...
This paper focuses on the problem of built-up areas detection in single high-resolution SAR images. In consideration of the rich structure information of built-up areas in high-resolution SAR images, we put forward a multiscale CNN model to extract multiscale trained features directly from image patches to detect built-up areas. By processing features extraction and classification as a whole, we overcome...
This paper proposes a simple polarimetric angle compensation to make accurate detection of deformed/inclined buildings possible by using quad-pol SAR data. It is expected that by applying the new compensation to the coherency matrix after doing conventional orientation angle compensation (OAC), undesired large surface scattering contribution generated between the inclined sidewall of the building...
Unsupervised classification of synthetic aperture radar (SAR) imagery is an essential step in SAR image interpretation. There is a growing demand for an efficient way to fuse multi-information of SAR imagery. This paper presents an intensity/coherent information fusion algorithm by using region covariance features for unsupervised classification. More precisely, we firstly extract the intensity properties...
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