URBAN AREA EXTRACTION USING AIRBORNE X-BAND FULLY POLARIMETRIC PI-SAR2 IMAGERY

In this paper, we present a method to extract urban areas from X-band fully polarimetric synthetic aperture radar (SAR) data. It is known that very high resolution (VHR) SAR can extract buildings, but it requires more processes to map urban areas that should include other objects. The proposed method is mainly composed of two classifications. One classification uses total power of scattering and volume scattering derived by using four component decomposition method with correction of the polarization orientation angle (POA) effect. The other classification uses polarimetric coherency between SHH and SVV . The two results are intersected and final urban areas are extracted after post-classification processing. We applied the proposed method to airborne X-band fully polarimetric SAR data of Polarimetric and Interferometric Airborne Synthetic Aperture Radar System (Pi-SAR2), developed by the National Institute of Information and Communications Technology (NICT), Japan. The validation show that the results of the proposed method were acceptable, with an overall accuracy of approximately 80 to 90% at 100-m spatial scale.

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Digital Beamforming Synthetic Aperture Radar (DBSAR): Experiments and Performance Analysis in Support of 16-Channel Airborne X-Band SAR Data

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2020.3027691 ◽

2020 ◽

pp. 1-15

Author(s):

Yashi Zhou ◽

Wei Wang ◽

Zhen Chen ◽

Pei Wang ◽

Huachun Zhang ◽

...

Keyword(s):

Performance Analysis ◽

Synthetic Aperture Radar ◽

Synthetic Aperture ◽

Digital Beamforming ◽

X Band ◽

Sar Data ◽

And Performance ◽

Aperture Radar

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The Combined Effect of Orientation Angle and Material on PolSAR Images of Urban Areas

Remote Sensing ◽

10.3390/rs12101632 ◽

2020 ◽

Vol 12 (10) ◽

pp. 1632

Author(s):

Laetitia Thirion-Lefevre ◽

Régis Guinvarc’h ◽

Elise Colin-Koeniguer

Keyword(s):

Synthetic Aperture Radar ◽

Urban Areas ◽

Orientation Angle ◽

Combined Effect ◽

Synthetic Aperture ◽

Polarimetric Synthetic Aperture Radar ◽

A Value ◽

Important Impact ◽

Aperture Radar

Polarimetric Synthetic Aperture Radar (PolSAR) images containing cities may exhibit misclassified areas when using polarimetric decompositions. Several articles relate this problem to the effects of orientation between the facades of buildings and the acquisition trajectory. Materials also play a role in polarimetric behavior. This paper deals with this combined effect of material and orientation. It analyzes different sets of data, airborne or space-borne, at L-, C- and X-bands, and for different orientation angles. It shows that considering dielectric dihedral rather than metallic in the polarimetric mechanism of double-bounce has a very important impact on the differences of intensities between the channels HH and VV. This difference is very important for small angles of orientation, and then decreases for large angles. Furthermore, the curves of the ratios between polarimetric intensities as a function of the orientation angle vary little with the materials and the frequencies encountered in all the scenarios envisaged. The signal of the ratio VV/HH raises a plateau around −1 dB for orientations higher than 30°. We also observe a plateau for HV/HH, but with a value around −5 dB.

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A multiscale approach for detection and mapping differential subsidence using multi-platform InSAR products

Proceedings of the International Association of Hydrological Sciences ◽

10.5194/piahs-382-173-2020 ◽

2020 ◽

Vol 382 ◽

pp. 173-177

Author(s):

Dario E. Solano-Rojas ◽

Shimon Wdowinski ◽

Enrique Cabral-Cano ◽

Batuhan Osmanoglu ◽

Emre Havazli ◽

...

Keyword(s):

Synthetic Aperture Radar ◽

Data Availability ◽

Synthetic Aperture ◽

Multiscale Approach ◽

Interferometric Synthetic Aperture Radar ◽

Case Examples ◽

X Band ◽

Data Coverage ◽

Sar Data ◽

Aperture Radar

Abstract. Detecting and mapping subsidence is currently supported by interferometric synthetic aperture radar (InSAR) products. However, several factors, such as band-dependent processing, noise presence, and strong subsidence limit the use of InSAR for assessing differential subsidence, which can lead to ground instability and damage to infrastructure. In this work, we propose an approach for measuring and mapping differential subsidence using InSAR products. We consider synthetic aperture radar (SAR) data availability, data coverage over time and space, and the region's subsidence rates to evaluate the need of post-processing, and only then we interpret the results. We illustrate our approach with two case-examples in Central Mexico, where we process SAR data from the Japanese ALOS (L-band), the German TerraSAR-X (X-band), the Italian COSMO-SkyMed (X-band) and the European Sentinel-1 (C-band) satellites. We find good agreement between our results on differential subsidence and field data of existing faulting and find potential to map yet-to-develop faults.

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