High-Rise Building Layover Exploitation with Non-Local Frequency Estimation in SAR Interferograms

Zhu, Jun; Ding, Xiaoli; Li, Zhiwei; Zhu, Jianjun; Xu, Bing

doi:10.3390/rs9060579

Cited by 5 publications

(9 citation statements)

References 21 publications

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“…In the wrapped phase image, the fringe pattern of the high-rise building layover is the prominent characteristic, which has already been used for urban building information extraction and reconstruction [3,12]. Meanwhile, it is obvious that there are strong noises in the real phase image of this urban scene.…”

Section: Real Urban Data Setsmentioning

confidence: 99%

“…Meanwhile, it could reduce the effects of reflectivity and coherence on the phase filtering, which only depends on the internal information of the interferometric phase itself [9]- [11]. Nowadays not only the unwrapped phase but also the wrapped phase has already been utilized for remote sensing applications [3], [12], so more convenient filter should be studied for only InSAR phase image to preserve more useful information contained in the phase.…”

Section: Introductionmentioning

confidence: 99%

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Interferometric SAR Phase Filtering With SURE-Based Non-Local Method

et al. 2020

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As the phase of the interferometric synthetic aperture radar (InSAR) contains abundant information for many earth observation activities, the interferometric phase denoising is an important step before InSAR processing and application because of its significant influence on the following steps. And this paper focused on the interferometic phase filtering and proposed a new filter based on the Stein's unbiased risk estimate (SURE)-based nonlocal means method. The SURE formula is more convenient for estimating the mean square error (MSE) from the noisy image only. Due to advantages of both the nonlocal means and the Stein's unbiased risk estimate, the proposed filter is exploited to the interferometric phase in the complex domain in the paper. Except for the denoising performance, the proposed method is more focused on preserving more useful information in the InSAR phase fringe patterns, such as the phase jumps utilized for urban information retrieval. The experiments on both the simulated data sets and the real data sets were implemented and analyzed to demonstrate the effectiveness of the proposed filtering method. INDEX TERMS Interferometric synthetic aperture radar (InSAR), interferometric phase filtering, Stein's unbiased risk estimate (SURE)-based nonlocal means.

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Section: Real Urban Data Setsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Interferometric SAR Phase Filtering With SURE-Based Non-Local Method

et al. 2020

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“…With the remarkable improvements in radar sensor, decimeter very-high-resolution (VHR) synthetic aperture radar (SAR) made it possible to map urban areas in very high level of detail [1,2,3,4]. In particular, together with advanced interferometric SAR (InSAR) techniques, now it is possible to obtain information of a single structure from VHR SAR images [5,6,7,8,9]. With the data collected by modern high-resolution SAR sensors, including both the airborne and spaceborne systems, urban areas characterized by different types of objects can be analyzed in much more detail referring to the geometric modulation of SAR imagery such as shadow, foreshortening and layover [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…Both the public buildings and residential buildings result in complex signatures of building projections in the InSAR image. Hence, some research focused on high-rise building analysis recently [7,8,25,26]. In VHR SAR images, the projection of high-rise building has a special characterization [7,19] compared to other building structures, and this issue has been developed further in much research, on this basis.…”

Section: Introductionmentioning

confidence: 99%

“…In our former work [7], Guo and Zhu extracted the high-rise building features from amplitude and coherence data, which is demonstrated by using TanDEM-X data. Zhang et al [8] proposed a non-local frequency estimation method to eliminate fringe patterns of high-rise building layover. Wen [25] and Tang [26] et al, detected high-rise buildings after analyzing the characterization of high-rise buildings in phase, and amplitude, respectively.…”

Section: Introductionmentioning

confidence: 99%

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High-Rise Building 3D Reconstruction with the Wrapped Interferometric Phase

Guo

Wang

Zang

et al. 2019

Sensors

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The great development of high-resolution SAR system gives more opportunities to observe building structures in detail, especially the advanced interferometric SAR (InSAR), which techniques attract more attention on exploiting useful information on urban infrastructures. Considering that the high-rise buildings in urban areas are quite common in big cities, it is of great importance to retrieve the three-dimension (3D) information of the urban high-rise buildings in urban remote sensing applications. In this paper, the 3D reconstruction of high-rise buildings using the wrapped InSAR phase image was studied, referring to the geometric modulation in very high resolution (VHR) SAR images, such as serious layover cause by high-rise buildings. Under the assumption of a rectangular shape, the high-rise buildings were detected and building façades were extracted based on the local frequency analysis of the layover fringe patterns. Then 3D information of buildings were finally extracted according to the detected façade geometry. Except for testing on a small urban area from the TanDEM-X data, the experiment carried on the single-pass InSAR wrapped phase in the wide urban scene, which was collected by the Chinese airborne N-SAR system, also demonstrated the possibility and applicability of the approach.

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