TOWARDS A SEMANTIC INTERPRETATION OF URBAN AREAS WITH AIRBORNE SYNTHETIC APERTURE RADAR TOMOGRAPHY

Urban Areas ◽

Point Cloud ◽

Semantic Interpretation ◽

Synthetic Aperture ◽

Classification Rules ◽

Building Facades ◽

The City ◽

Geometric Primitives ◽

In this paper, we introduce a method to detect and reconstruct building parts from tomographic Synthetic Aperture Radar (SAR) airborne data. Our approach extends recent works in two ways: first, the radiometric information is used to guide the extraction of geometric primitives. Second, building facades and roofs are extracted thanks to geometric classification rules. We demonstrate our method on a 3 image L-Band airborne dataset over the city of Dresden, Germany. Experiments show how our technique allows to use the complementarity between the radiometric image and the tomographic point cloud to extract buildings parts in challenging situations.

DBSCAN-based point cloud extraction for Tomographic synthetic aperture radar (TomoSAR) three-dimensional (3D) building reconstruction

International Journal of Remote Sensing ◽

10.1080/01431161.2020.1851062 ◽

2020 ◽

Vol 42 (6) ◽

pp. 2327-2349

Author(s):

Ziye Guo ◽

Hui Liu ◽

Lei Pang ◽

Li Fang ◽

Wenna Dou

Keyword(s):

Point Cloud ◽

Three Dimensional ◽

Synthetic Aperture ◽

Building Reconstruction ◽

Simulated images of urban areas using an extended GTD ray-tracing model of the synthetic aperture radar

10.1117/12.227165 ◽

1995 ◽

Author(s):

Shahram Tajbakhsh ◽

Min-Joon Kim ◽

H. M. Berenyi ◽

Ronald E. Burge

Keyword(s):

Ray Tracing ◽

Urban Areas ◽

Synthetic Aperture ◽

Simulated Images ◽

Ray Tracing Model ◽

Building footprint extraction using dual-aspect high-resolution synthetic aperture radar images in urban areas

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.6.063599 ◽

2012 ◽

Vol 6 (1) ◽

pp. 063599 ◽

Cited By ~ 3

Author(s):

Fengli Zhang ◽

Lu Liu ◽

Yun Shao

Keyword(s):

High Resolution ◽

Urban Areas ◽

Synthetic Aperture ◽

Radar Images ◽

Building Footprint ◽

Color Coding of Synthetic Aperture Radar Imagery

Proceedings of the Human Factors Society Annual Meeting ◽

10.1177/154193128402800402 ◽

1984 ◽

Vol 28 (4) ◽

pp. 303-307

Author(s):

Frank Ward ◽

Denise Wilson ◽

Donald Wallquist ◽

Gilbert Kuperman

Keyword(s):

Transmission Lines ◽

Urban Areas ◽

Power Transmission ◽

Synthetic Aperture ◽

Power Transmission Lines ◽

Oil Refineries ◽

Black And White ◽

Sar Imagery ◽

The purpose of our study was to investigate four types of coding strategies using the same Synthetic Aperture Radar (SAR) imagery. We digitized unclassified SAR imagery to include scenes from urban areas, seaports, oil refineries, industrial sites, an airfield, and power transmission lines. Two color and two black and white (BW) coding schemes were applied to the imagery. Five experienced radar interpreters were briefed and viewed 35 mm slides of the imagery. They judged image usefulness by reference to an interpretability scale. Analysis of the ratings showed that the BW codes received significantly higher interpretability ratings than the color codes.

Robust algorithm for detecting floodwater in urban areas using synthetic aperture radar images

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.12.045011 ◽

2018 ◽

Vol 12 (04) ◽

pp. 1 ◽

Cited By ~ 7

Author(s):

David C. Mason ◽

Sarah L. Dance ◽

Sanita Vetra-Carvalho ◽

Hannah L. Cloke

Keyword(s):

Urban Areas ◽

Synthetic Aperture ◽

Robust Algorithm ◽

Radar Images ◽

Evaluation of Coherent and Incoherent Landslide Detection Methods Based on Synthetic Aperture Radar for Rapid Response: A Case Study for the 2018 Hokkaido Landslides

Remote Sensing ◽

10.3390/rs12020265 ◽

2020 ◽

Vol 12 (2) ◽

pp. 265 ◽

Cited By ~ 4

Author(s):

Jungkyo Jung ◽

Sang-Ho Yun

Keyword(s):

Urban Areas ◽

Rapid Response ◽

Synthetic Aperture ◽

Detection Methods ◽

Intensity Correlation ◽

Low Coherence ◽

Multi Temporal ◽

Log Ratio ◽

Damage mapping using Synthetic Aperture Radar (SAR) imagery has been studied in recent decades to support rapid response to natural disasters. Many researches have been developing coherent and incoherent change detection. However, their performances can vary depending on the types of the damages, the characteristics of the scatterers and the corresponding capability of algorithms. In particular, the coherence-based methods have been used as promising detectors over urban areas where high coherences are observed, but their detection accuracies still remain controversial over the area where low coherences are mainly observed such as the 2018 Hokkaido landslides. In order to understand the characteristics of landslide (damage) detectors for low-coherence areas and find an alternative and complementary method, we designed the coherence difference, coherence normalized difference, log-ratio, intensity correlation difference, and normalized differences of the intensity correlation assuming limited availability of dataset, and also developed multi-temporal algorithms using the coherence, intensity, and intensity correlation. They were tested and evaluated using multiple polygons extracted from aerial photos. We were able to observe that the multi-temporal intensity correlation method has the potential to detect the landslides over the low coherence region and all types of land uses.

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):

Urban Areas ◽

Orientation Angle ◽

Combined Effect ◽

Synthetic Aperture ◽

Polarimetric Synthetic Aperture Radar ◽

A Value ◽

Important Impact ◽

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.