Polarimetric Characterization and Temporal Stability Analysis of Urban Target Scattering

Margarit, G.; Mallorquí, J.J.; Pipia, Luca

doi:10.1109/tgrs.2009.2035052

Cited by 13 publications

(6 citation statements)

References 19 publications

(35 reference statements)

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“…Several researchers in remote sensing have taken advantage of 3D city models to interpret high-resolution synthetic aperture radar (SAR) images and to predict the reflectivity of future SAR image acquisitions with a ray tracing analysis [294][295][296][297][298]. The methods involve simulating the acquisition with virtual sensors and analysing SAR scattering effects with buildings of different configurations.…”

Section: Understanding Synthetic Aperture Radar Imagesmentioning

confidence: 99%

Applications of 3D City Models: State of the Art Review

Biljecki

Stoter

Ledoux

et al. 2015

IJGI

610

380

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In the last decades, 3D city models appear to have been predominantly used for visualisation; however, today they are being increasingly employed in a number of domains and for a large range of tasks beyond visualisation. In this paper, we seek to understand and document the state of the art regarding the utilisation of 3D city models across multiple domains based on a comprehensive literature study including hundreds of research papers, technical reports and online resources. A challenge in a study such as ours is that the ways in which 3D city models are used cannot be readily listed due to fuzziness, terminological ambiguity, unclear added-value of 3D geoinformation in some instances, and absence of technical information. To address this challenge, we delineate a hierarchical terminology (spatial operations, use cases, applications), and develop a theoretical reasoning to segment and categorise the diverse uses of 3D city models. Following this framework, we provide a list of identified use cases of 3D city models (with a description of each), and their applications. Our study demonstrates that 3D city models are employed in at least 29 use cases that are a part of more than 100 applications. The classified inventory could be useful for scientists as well as stakeholders in the geospatial industry, such as companies and national mapping agencies, as it may serve as a reference document to better position their operations, design product portfolios, and to better understand the market.

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Section: Understanding Synthetic Aperture Radar Imagesmentioning

confidence: 99%

Applications of 3D City Models: State of the Art Review

Biljecki

Stoter

Ledoux

et al. 2015

IJGI

610

380

View full text Add to dashboard Cite

show abstract

“…For example, characteristics of the urban targets could be expressed by the polarimetric scatterings from a geometrical point of view (Margarit, Mallorquí, and Pipia 2010). The identification of man-made structures was improved by using normalized circularlypolarized correlation coefficients (Ainsworth, Schuler, and Lee 2008).…”

Section: Introductionmentioning

confidence: 99%

RADARSAT-2 fine-beam polarimetric and ultra-fine-beam SAR data for urban mapping: comparison and synergy

Niu

Ban

Dou

2015

International Journal of Remote Sensing

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The aim of this article is to investigate the capabilities of multitemporal RADARSAT-2 fine-beam polarimetric synthetic aperture radar (SAR) data and RADARSAT-2 ultrafine-beam C-band single-polarization HH SAR (C-HH SAR) data for detailed urban land-cover mapping using a contextual approach. With an adaptive Markov random field and a spatially variant finite mixture model, contextual information was effectively explored to improve the mapping accuracy. A texture enhancement in FMM was further proposed to improve the classification accuracy. Moreover, a rule-based approach exploring object features and spatial relationships was employed to extract road, street, and park. Three-date RADARSAT-2 fine-beam polarimetric SAR (PolSAR) and three-date RADARSAT-2 ultra-fine-beam C-HH SAR data over the Greater Toronto area were used for the evaluation. For 10 major classes, the overall accuracy (OA) is 51% for C-HH SAR data and 79% for PolSAR data. Compared with C-HH SAR, PolSAR data produced better results for identifying various urban patterns. Although with multi-date, the C-HH SAR data showed low capability to distinguish high-density residential area and industry commercial area (Ind.). Considerable low-density residential area (LD) was misclassified as forest. Identification of the construction site (Cons.) and golf course were poor. Nevertheless, the efficiency of the multitemporal C-HH SAR textures for distinguishing the built-up areas was observed. By texture enhancement with the synergy of the PolSAR and C-HH SAR data, the mapping results could be significantly improved, especially for LD, forest, and crops. The OA is improved by 2.7% for PolSAR data, and 11.1% for C-HH SAR data. Road, street, and park could be extracted by the rulebased approach with OA about 77% for 13 classes.

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“…[16]), particularly with respect to their stability as persistent scatterers (e.g. [17]). Given the complexity of multiple scattering, the possibility of finding virtual scatterers involving only one interaction together with the same traveling wave path (and thereby the same phase history) as the original higher order scattering mechanism would thus be very interesting.…”

Section: Introductionmentioning

confidence: 99%

On the use of virtual ground scatterers to localize double and triple bounce scattering mechanisms for bistatic SAR

Villard

Borderies

2015

Journal of Electromagnetic Waves and Applications

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International audienceIn Radar remote sensing, the electromagnetic (em) modeling of scattering contributions from natural or man-made scatterers has often to deal with coupling scattering mechanisms due to the underlying reflecting surface (ground or water). For the monostatic configuration, this contribution is commonly associated with the so-called double bounce scattering mechanism, which is also known to be located in synthetic aperture radar (SAR) images at the vertical projection of the scatterer onto the ground. To explore this phenomenon in the more general case of bistatic SAR but also for triple bounce scattering, a new formalism using virtual scatterers is introduced in this paper. Based upon image theory and on far-field assumption, these virtual points are defined by simple interaction scatterers located on the reflecting surface, and involving the same traveling wave path than the considered scattering mechanism. Depending only on the incidence and scattering angles, elegant formulae in their simplicity are highlighted to construct these fictitious scatterers. The resulting reduction of multiple to simple interaction scattering mechanisms simplifies the finding of their location within bistatic SAR images, generalizing thereby migration effects associated to coupling mechanisms in the bistatic configuration

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Polarimetric Characterization and Temporal Stability Analysis of Urban Target Scattering

Cited by 13 publications

References 19 publications

Applications of 3D City Models: State of the Art Review

Applications of 3D City Models: State of the Art Review

RADARSAT-2 fine-beam polarimetric and ultra-fine-beam SAR data for urban mapping: comparison and synergy

On the use of virtual ground scatterers to localize double and triple bounce scattering mechanisms for bistatic SAR

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