Extraction and height estimation of artificial vertical structures based on the wrapped interferometric phase difference within their layovers

Uemoto, Jyunpei; Nadai, Akitsugu; Kojima, Soichi; Kobayashi, Tatsuharu; Umehara, Toshihiko; Matsuoka, Takeshi; Uratsuka, Seiho; Satake, Makoto

doi:10.1016/j.isprsjprs.2018.02.018

Cited by 8 publications

(6 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SAR interferometry uses the information ∆φ, obtained through the phase difference between the two images, to generate the ∆r information and, consequently, obtain the elevation value, as long as the imaging conditions are known, that is, the height H, the baseline B and the state vectors (speed and positioning) of the antennas A1 and A2 (Uemoto et al, 2018).…”

Section: Basic Interferometric Equationmentioning

confidence: 99%

Repeat Pass Interferometry Using Alos-2 Palsar-2 Data (Study Case in Brazil)

Rosa

Oliveira

Rodrigues

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. We performed a process called SAR Interferometry (InSAR) to generate Digital Elevation Models (DEMs) from data pairs of the PALSAR-2 Synthetic Aperture Radar, from the ALOS-2 satellite. The pair of images used is a permutation between all acquired acquisitions of SAR data from ALOS-2, more precisely, we used data from two satellite passages (temporally spaced) in which the sensor was imaging the same area on the ground. There were PALSAR-2 L-Band Ultrafine images with an interval of 14 days between acquisitions (which is precisely the revisit time of the satellite) from two forest regions in the Paran´a state, Brazil. After the generation of the DEM, we observed a systematic error that generated a kind of very sharp ramp in the azimuthal direction. In this paper we present the followed steps and the investigation carried out to discover the causes of the error. We could observe that the satellite paths on the two dates suffer a relative displacement between them. In other words, this error occurs due to a non-constant baseline. This work was part of the R&D project of FAPESP (São Paulo State Research Support Foundation) entitled “Geração de inventários florestais a partir de um portfólio de soluções de sensoriamento remoto brasileiras de papel e celulose” (Generation of forest inventories from a portfolio of Brazilian remote sensing solutions for paper and cellulose) number “2017 / 25639- 5 - NRC - PIPE – Fase 2 Direta”.

show abstract

Section: Basic Interferometric Equationmentioning

confidence: 99%

Repeat Pass Interferometry Using Alos-2 Palsar-2 Data (Study Case in Brazil)

Rosa

Oliveira

Rodrigues

et al. 2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…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%

“…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]. With VHR SAR data, the individual building information can be well-understood by analyzing and studying useful information contained in SAR signatures e.g., layover [3,4].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Guo

Wang

Zang

et al. 2019

Sensors

View full text Add to dashboard Cite

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.

show abstract

“…Typical methods to overcome these challenges in airborne or satellite applications are SAR tomography and interferometry. Recently, authors in (Uemoto et al, 2018) presented a method for extraction and height estimation of vertical structures from X-band InSAR data. Tomographic SAR allows 3D imaging of point like scatteres and can further be used to analyze the vertical height and structure of vegetation layers with penetration of the sensor's radiation typically at lower frequencies (Reigber et al, * Corresponding author 2015).…”

Section: Introductionmentioning

confidence: 99%

Ultra-High Resolution Imaging of Facades and Vertical Infrastructure by Carborne Sar and Airborne Csar

Palm

Sommer

Tessmann

et al. 2019

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

<p><strong>Abstract.</strong> In this paper we propose a strategy to focus ultra-high resolution single channel carborne SAR and airborne circular SAR (CSAR) data to image facades and vertical infrastructure. We illustrate the related theoretical background and the design of an optimal focusing geometry for carborne SAR applications while using backprojection focusing techniques. Of particular interest is thereby the determination of the minimum distance and orientation of the facade to the radar sensor. Potential image distortions due to a wrong choice of these parameters are illustrated. Effects on the final resolution of the data due to the rotation of the focusing geometry compared to typical airborne SAR are discussed. We validated the strategy by driving on conventional roads illuminating facades with an experimental mobile radar mapping (MRM) sensor operating at 300 GHz. We further present an adapted version of the proposed strategy to focus vertical infrastructure in CSAR data sets. By extracting the center coordinate and the principal orientation of an object from GiS data, the focusing plane is designed arbitrarily in the 3D space. For the CSAR data set, a radar sensor particularly designed for circular flight trajectories operating at 94 GHz was evaluated. An electrical pylon was chosen as potential target. In both applications, the final images show a high level of detail. The combination of proposed strategy and radar sensor with very high bandwidth is capable of subcentimeter imaging of facades. The height, shape and dimensions of objects can be extracted directly from the image geometry at very high accuracy.</p>

show abstract

Extraction and height estimation of artificial vertical structures based on the wrapped interferometric phase difference within their layovers

Cited by 8 publications

References 22 publications

Repeat Pass Interferometry Using Alos-2 Palsar-2 Data (Study Case in Brazil)

Repeat Pass Interferometry Using Alos-2 Palsar-2 Data (Study Case in Brazil)

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

Ultra-High Resolution Imaging of Facades and Vertical Infrastructure by Carborne Sar and Airborne Csar

Contact Info

Product

Resources

About