Ultra-wideband P-3 and CARABAS II foliage attenuation and backscatter analysis

Bessette, Loretta A.; Ayasli, S.

doi:10.1109/nrc.2001.923005

Cited by 24 publications

(21 citation statements)

References 11 publications

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“…Per tant, es pot dir que els boscos es poden modelar com un volum aleatori sobre una superficie de terra {Random Volume over Ground surface -RVoG-). No obstant aixo, cal teñir en compte que aquesta assumpció de volum aleatori per a zones forestáis s'ha de tractar de forma correcta, ja que no és estrictament cert especialment en banda P [BA01].…”

Section: Objectius De La Tesiunclassified

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Retrieval of biophysical parameters of agricultural crops using polarimetric SAR interferometry

Ballester-Berman

López-Sánchez

Fortuny-Guasch

2005

IEEE Trans. Geosci. Remote Sensing

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Retrieval of biophysical parameters of agricultural crops using polarimetric sar interferometry. Josep David Ballester Berman Tesis doctoral de la Universidad de Alicante. Tesi doctoral de la Universitat d´Alacant. 2007. AgraimentsAquesta tesi és el resultat del treball d'investigado desenvolupat durant vora quatre anys dins del Grup de Senyals, Sistemes i Telecomunicacions (SST) de la Universitat d'Alacant, amb el financament public del Ministeri Espanyol d'Educació i Ciencia i EU FEDER amb els projectes TIC2002-04451-C02-02 and TEC2005-06863-C02-02, així com de la Generalitat Valenciana amb el projecte ACOMP07/087.En primer Hoc, voldria expressar el meu agraiment mes sincer ais meus companys del grup SST pels moments, agradables i no tan agradables, que hem compartit durant tot aquest temps i pel suport personal i els ánims que m'han donat tant en la tasca investigadora com docent.Molt especialment, li vull agrair a Juanma López el recolzament personal que sempre m'ha mostrat. La seua implicació no només s'ha centrat en la supervisió, sempre rigorosa, pacient i humil, d'aquesta tesi doctoral. El seu compromís i dedicació ha sobrepassat la vessant científica i professional i ha fet possible una inestimable relació de amistat i confianca.També vull agrair a Joaquim Fortuny el seu assessorament i la col.laboració que hem mantingut durant una important part del desenvolupament de la tesi, així com al European Microwave Signature Laboratory (EMSL), a Ispra, Italia, per proporcionar-nos les dades experimentáis que han fet possible el treball que es presenta.Durant aquest temps d'activitat investigadora he tingut l'oportunitat de conéixer altres persones que han mostrat un gran interés pel nostre treball. Especialment li vull agrair a Shane Cloude la seua inestimable contribució mitjancant suggeréncies i comentaris que han millorat de manera important aquesta tesi. Així mateix, també vull mostrar el meu agraiment a Irena Hajnsek per recolzar el nostre treball des del principi i per la seua confianca en nosaltres com a membres de l'equip del projecte AgriSAR.He de recordar a altres persones que he pogut conéixer durant aquest període de temps, com Gerard Margarit i Carlos López amb els quals he compartit bons moments en els dies de congressos, així com José Luis Gómez Dans pels seus comentaris i observacions que ens ajudaran a orientar el nostre treball futur.En una ocasió com aquesta vull expressar la meua gratitud ais meus pares pel sacrifici que han fet durant tants anys, així com als meus germans pels seus ánims i recolzament.Finalment, el major sentiment d'agrai'ment li'l dec a Estefanía i a Francesc. D'ella i d'ell he rebut dia a dia el suport, la comprensió i afectuositat mes sincera. AcknowledgementsThis thesis is the result of the research work carried out during a period of almost four years as a member of the Systems, Signals and Telecommunication (SST) Group of the University of Alacant, with the public financial support of the Spanish Ministry of Education and Science and EU FEDER under projects TIC2002...

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Section: Objectius De La Tesiunclassified

“…Due to these features, forest can be modelled as a random volume over a ground surface (RVoG). Nevertheless, the assumption of random volume for forests must be treated carefully, since it is not strictly true specially at P-band [BA01].…”

Section: Objectives Of This Thesismentioning

confidence: 99%

Retrieval of biophysical parameters of agricultural crops using polarimetric SAR interferometry

Ballester-Berman

López-Sánchez

Fortuny-Guasch

2005

IEEE Trans. Geosci. Remote Sensing

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“…Synthetic aperture radar (SAR) operated at low VHF-band is a good solution to the first problem [1] [2]. At the low VHF-band around 20MHz -90MHz, radar wave is more likely to make a return on objects exceeding certain dimension.…”

Section: Introductionmentioning

confidence: 99%

A target detection scheme for VHF SAR ground surveillance

Paulson

et al. 2008

SPIE Proceedings

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Detection of targets concealed in foliage is a challenging problem and is critical for ground surveillance. To detect foliage-concealed targets, we need to address two major challenges, namely, 1) how to remotely acquire information that contains important features of foliage-concealed targets, and 2) how to distinguish targets from background and clutter. Synthetic aperture radar operated in low VHF-band has shown very good penetration capability in the forest environment, and hence the first problem can be satisfactorily addressed. The second problem is the focus of this paper. Existing detection schemes can achieve good detection performance but at the cost of high false alarm rate. To address the limitation of the existing schemes, in this paper, we develop a target detection algorithm based on a supervised learning technique that maximizes the margin between two classes, i.e., the target class and the non-target class. Specifically, our target detection algorithm consists of 1) image differencing, 2) maximum-margin classifier, and 3) diversity combining. The image differencing is to enhance and highlight the targets so that the targets are more distinguishable from the background. The maximum-margin classifier is based on a recently developed feature weighting technique called I-RELIEF; the objective of the maximum-margin classifier is to achieve robustness against uncertainties and clutter. The diversity combining utilizes multiple images to further improve the performance of detection, and hence it is a type of multi-pass change detection. We evaluate the performance of our proposed detection algorithm, using the SAR image data collected by Swedish CARABAS-II systems which operates at low VHF-band around 20-90 MHz. The experimental results demonstrate superior performance of our algorithm, compared to the benchmark algorithm associated with the CARABAS-II SAR image data. For example, for the same level of target detection probability, our algorithm only produces 11 false alarms while the benchmark algorithm produces 86 false alarms.

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“…1,6 It is common to match probability density functions to clutter backscatter magnitudes. The Rayleigh density…”

Section: Introductionmentioning

confidence: 99%

<title>Clutter model for VHF SAR imagery</title>

Jackson

Moses

2004

SPIE Proceedings

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We present a physically-based clutter model for low frequency synthetic aperture radar that includes both distributed scatterers and large-amplitude discrete clutter. The model is used to generate a synthetic forest clutter scene comprised of two components, a background component and a heavy-tailed discrete component. Model parameters are based on characteristics of the scene, such as the radar cross-section of trees, forest thickness, and background radar cross-section. A synthetic SAR image of the scene is generated by modelling the radar imaging process as a lowpass filter and convolving the scene with the impulse response of the radar. We compare the synthetic, single-pass clutter image to measured data and present a metric for evaluating model fit. We also extended the model to describe correlated, multi-pass images for change detection applications.

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Ultra-wideband P-3 and CARABAS II foliage attenuation and backscatter analysis

Cited by 24 publications

References 11 publications

Retrieval of biophysical parameters of agricultural crops using polarimetric SAR interferometry

Retrieval of biophysical parameters of agricultural crops using polarimetric SAR interferometry

A target detection scheme for VHF SAR ground surveillance

<title>Clutter model for VHF SAR imagery</title>

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