A canonical problem in electromagnetic backscattering from buildings

Franceschetti, Giorgio; Iodice, Antonio; Riccio, Daniele

doi:10.1109/tgrs.2002.802459

Cited by 215 publications

(188 citation statements)

References 8 publications

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“…In order to avoid resorting to empirical training data sets generally unavailable in operative applications, we have determined the default values of the fuzzy thresholds by analyzing the outputs of three well-established electromagnetic scattering models, namely the two models developed at the Tor Vergata University of Rome (Bracaglia et al, 1995;Ferrazzoli and Guerriero, 1995) to simulate the radar return from agricultural and forested areas, and that proposed by Franceschetti et al (2002) to predict the backscattering from urban areas. They have been run for different system parameters, such as frequency bands (L, C, X), polarizations (horizontal and vertical, i.e.…”

Section: The Model-based Fuzzy Thresholdsmentioning

confidence: 99%

“…This consideration implies that, as stated by Schumann et al (2009b), SAR is unable to extract flooding from urban areas, even though an attempt has been recently carried out by exploiting the high resolution TerraSAR-X instrument (Mason et al, 2010). An analytical evaluation in closed form of the electromagnetic return from a building was accomplished by Franceschetti et al (2002) for the simplified scenario represented by a building isolated from other man-made structures, i.e., a parallelepiped placed on a rough surface. Our simulations of radar return from urban flooded areas have been performed by applying the model of Franceschetti et al (2002) substituting the rough surface surrounding the building with water.…”

Section: The Model-based Fuzzy Thresholdsmentioning

confidence: 99%

“…An analytical evaluation in closed form of the electromagnetic return from a building was accomplished by Franceschetti et al (2002) for the simplified scenario represented by a building isolated from other man-made structures, i.e., a parallelepiped placed on a rough surface. Our simulations of radar return from urban flooded areas have been performed by applying the model of Franceschetti et al (2002) substituting the rough surface surrounding the building with water. The results have revealed that the presence of the standing water causes a large increase of the double bounce backscattering, involving surface and buildings, at all the considered frequencies.…”

Section: The Model-based Fuzzy Thresholdsmentioning

confidence: 99%

See 2 more Smart Citations

An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

Pulvirenti

Pierdicca

Chini

et al. 2011

Nat. Hazards Earth Syst. Sci.

232

140

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Abstract. An algorithm developed to map flooded areas from synthetic aperture radar imagery is presented in this paper. It is conceived to be inserted in the operational flood management system of the Italian Civil Protection and can be used in an almost automatic mode or in an interactive mode, depending on the user's needs. The approach is based on the fuzzy logic that is used to integrate theoretical knowledge about the radar return from inundated areas taken into account by means of three electromagnetic scattering models, with simple hydraulic considerations and contextual information. This integration aims at allowing a user to cope with situations, such as the presence of vegetation in the flooded area, in which inundation mapping from satellite radars represents a difficult task. The algorithm is designed to work with radar data at L, C, and X frequency bands and employs also ancillary data, such as a land cover map and a digital elevation model. The flood mapping procedure is tested on an inundation that occurred in Albania on January 2010 using COSMO-SkyMed very high resolution X-band SAR data.

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Section: The Model-based Fuzzy Thresholdsmentioning

confidence: 99%

Section: The Model-based Fuzzy Thresholdsmentioning

confidence: 99%

Section: The Model-based Fuzzy Thresholdsmentioning

confidence: 99%

See 1 more Smart Citation

An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

Pulvirenti

Pierdicca

Chini

et al. 2011

Nat. Hazards Earth Syst. Sci.

232

140

View full text Add to dashboard Cite

show abstract

“…Due to the orientation of wall surface and roof surface, the incident angle must be transferred into the local coordinates of the surface, as well as the polar basis of wave propagation. Geometrical relationships among the wall surfaces, the roof surfaces, as well as the double and triple scatterings between the wall and ground can be found in [55][56][57]. Fig.…”

Section: Scattering Models For Terrain Objectsmentioning

confidence: 99%

Polarimetric Scattering Modeling and Information Retrieval of Sar Remote Sensing --- A Review of Fdu Work

Jin

2010

PIER

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Abstract-Synthetic aperture radar (SAR) imagery technology is one of most important advances in space-borne microwave remote sensing during recent decades. Completely polarimetric scattering from complex terrain surfaces can be measured. Polarimetric SAR (POLSAR), and its relevant technologies, such as POL-interferometric SAR (POLINSAR), bistatic SAR (POL-BISAR), high resolution (in m and dm resolution) SAR, inverse SAR (ISAR) etc., have been providing rich all-weather, all-time and high-resolution data and images of active miscrowave remote sensing. Fully understanding and retrieving information from polarimetric scattering signatures of natural media and SAR images have become a key issue for the SAR remote sensing and its broad applications. Many researches on polarimetric scattering and SAR imagery technology have been carried out (e.g., [1][2][3][4][5][6]). This paper presents a review of the research works in Fudan University (FDU) during recent years on theoretical modeling of the terrain surface for polarimetric scattering simulation and Mueller matrix solution, mono-static and bistatic SAR image simulation, new parameters for unsupervised surface classification, DEM inversion, change detection from multi-temporal SAR images, and reconstructions of buildings from multi-aspect SAR images, etc. . Some applications are briefly reported.Corresponding author: Y.-Q. Jin (yqjin@fudan.ac.cn).

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“…The water tends to cover the ground and change the macroscopic topography as well as the roughness properties of the scene. In this paper the electromagnetic model presented in [1] is adopted with proper changes to consider the presence of water in an urban area, possible changes to the relative building height, the surface roughness and the dielectric properties of the new scenario. Obviously all these parameters affect the electromagnetic scattering of a building.…”

Section: Introductionmentioning

confidence: 99%

A new local approach for flooding level estimation in urban areas using single SAR images

Iervolino¹,

Diessa²,

Iodice³

et al. 2011

2011 Joint Urban Remote Sensing Event

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-The aim of this paper is to evaluate the level of flooding in proximity of sensible targets in urban areas using only one Synthetic Aperture Radar (SAR) image. To this purpose a two-step algorithm is here proposed: first the flooded areas are detected in the SAR image; and then the water level is retrieved by inverting scattering models developed for urban areas and now properly adapted for the case at issue. The retrieval is performed through a local approach where the a-priori knowledge of the target ground truth and two gauges in the premises is required. The approach is tested on a High Resolution (HR) TerraSAR-X image acquired during the flooding occurred in the Gloucestershire in July 2007.

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A canonical problem in electromagnetic backscattering from buildings

Cited by 215 publications

References 8 publications

An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

An algorithm for operational flood mapping from Synthetic Aperture Radar (SAR) data using fuzzy logic

Polarimetric Scattering Modeling and Information Retrieval of Sar Remote Sensing --- A Review of Fdu Work

A new local approach for flooding level estimation in urban areas using single SAR images

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