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Dissertations / Theses on the topic 'Polarimetric Synthetic Aperture Radar'

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Published: 25 May 2024

Last updated: 30 July 2025

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1

Small, David L. "Information content of polarimetric synthetic aperture radar data." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/30103.

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Research into the analysis of polarimetric synthetic aperture radar (SAR) data continues to reveal new applications and data extraction techniques. The objective of this thesis is to examine the information content of a quad-polarization SAR, and determine which polarimetric variables are most useful for classification purposes. The four complex polarimetric radar channels (HH, HV, VH, and VV) are expressed as nine scattering matrix cross-product "features" (with the loss of only absolute phase), and the relative utility of each for terrain classification is examined. Feature utility is exami

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2

Brown, Sarah Caroline Mellows. "High resolution polarimetric imaging of biophysical objects using synthetic aperture radar." Thesis, University of Sheffield, 1998. http://etheses.whiterose.ac.uk/10223/.

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A synthetic aperture microwave near-field system is used to image biophysical objects in order to investigate the nature of radar-target interaction. Two different imaging algorithms for focusing data collected over a two-dimensional planar aperture are investigated. The first of these is the single frequency backward propagation technique which is mathematically simple to implement and provides a high degree of resolution. Secondly, a multifrequency development of the backward propagation algorithm is presented and derived from two separate perspectives. This latter algorithm, known as the au

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3

Danklmayer, Andreas. "Propagation effects and polarimetric methods in synthetic aperture radar imaging : 15 Tabellen /." Köln : DLR, Bibliotheks- und Informationswesen, 2008. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016768338&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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4

Showman, Gregory Alan. "Polarimetric calibration of ultra-wideband SAR imagery." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/13368.

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5

Khan, Salman Saeed. "Non-gaussian multivariate probability models and parameter estimation for polarimetric synthetic aperture radar data." Thesis, University of Surrey, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.600036.

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The inadequacy of gaussian statistics in describing certain regions of a synthetic aperture radar (SAR) image can be explained by the violation of fundamental gaussian assumptions due to the increase in spatial resolution and target heterogeneity. Many non-gaussian probability models, competing in modeling flexibility, mathematical tractability, and simplicity / accuracy of parameter estimation, have been proposed in the last two decades to model single-channel and polarimetric SAR (PoISAR) data. This thesis explores the flexible polarimetric G distribution, which has many other nongaussian pr

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6

Marino, Armando. "New target detector based on geometrical perturbation filters for polarimetric Synthetic Aperture Radar (POL-SAR)." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/4891.

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Synthetic Aperture Radar (SAR) is an active microwave remote sensing system able to acquire high resolution images of the scattering behaviour of an observed scene. The contribution of SAR polarimetry (POLSAR) in detection and classification of objects is described and found to add valuable information compared to previous approaches. In this thesis, a new target detection/classification methodology is developed that makes novel use of the polarimetric information of the backscattered field from a target. The detector is based on a geometrical perturbation filter which correlates the target of

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7

Zhang, Xiaohu, and 张啸虎. "Automatic detection of land cover changes using multi-temporal polarimetric SAR imagery." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/193496.

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Dramatic land-cover changes have occurred in a broad range of spatial and temporal scales over the last decades. Satellite remote sensing, which can observe the earth's surface in a consistent manner, has been playing an important role in monitoring and evaluating land-cover changes. Meanwhile, optical remote sensing, a common approach to acquiring land-cover information, is limited by weather conditions and thus is greatly constrained in areas with frequent cloud cover and rainfall. Recent advances in polarimetric SAR (PolSAR) provide a promising means to extract timely information of land-co

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8

He, Wenju [Verfasser], and Olaf [Akademischer Betreuer] Hellwich. "Segmentation-Based Building Analysis from Polarimetric Synthetic Aperture Radar Images / Wenju He. Betreuer: Olaf Hellwich." Berlin : Universitätsbibliothek der Technischen Universität Berlin, 2011. http://d-nb.info/1014971683/34.

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9

Black, James Noel. "Development of a Support-Vector-Machine-based Supervised Learning Algorithm for Land Cover Classification Using Polarimetric SAR Imagery." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85391.

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Land cover classification using Synthetic Aperture Radar (SAR) data has been a topic of great interest in recent literature. Food commodities output prediction through crop identification, environmental monitoring, and forest regrowth tracking are some of the many problems that can be aided by land cover classification methods. The need for fast and automated classification methods is apparent in a variety of applications involving vast amounts of SAR data. One fundamental step in any supervised learning classification algorithm is the selection and/or extraction of features present in the

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10

Dilsavor, Ronald L. "Detection of target scattering centers in terrain clutter using an ultra-wideband, fully-polarimetric synthetic aperture radar /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487847761306763.

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11

Mestre-Quereda, Alejandro. "Advanced Processing Techniques and Applications of Synthetic Aperture Radar Interferometry." Doctoral thesis, Universidad de Alicante, 2019. http://hdl.handle.net/10045/101167.

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Synthetic Aperture Radar interferometry (InSAR) is a powerful and established technique, which is based on exploiting the phase difference between pairs of SAR images, and which aims to measure changes in the Earth’s surface. The quality of the interferometric phase is therefore the most crucial factor for deriving reliable products by means of this technique. Unfortunately, the quality of the phase is often degraded due to multiple decorrelation factors, such as the geometrical or temporal decorrelation. Accordingly, central to this PhD thesis is the development of advanced processing techniq

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12

Ilea, Ioana. "Robust classifcation methods on the space of covariance matrices. : application to texture and polarimetric synthetic aperture radar image classification." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0006/document.

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Au cours de ces dernières années, les matrices de covariance ont montré leur intérêt dans de nombreuses applications en traitement du signal et de l'image.Les travaux présentés dans cette thèse se concentrent sur l'utilisation de ces matrices comme descripteurs pour la classification. Dans ce contexte, des algorithmes robustes de classification sont proposés en développant les aspects suivants.Tout d'abord, des estimateurs robustes de la matrice de covariance sont utilisés afin de réduire l'impact des observations aberrantes. Puis, les distributions Riemannienne Gaussienne et de Laplace, ainsi

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13

Cronin, Natasha Louise Rafaelle School of Biological Earth &amp Environmental Sciences UNSW. "The potential of airborne polarimetric synthetic aperture radar data for quantifying and mapping the biomass and structural diversity of woodlands in semi-arid Australia." Awarded by:University of New South Wales. School of Biological, Earth and Environmental Sciences, 2004. http://handle.unsw.edu.au/1959.4/30533.

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Levels of carbon dioxide in the atmosphere have been steadily increasing since the beginning of the Industrial Revolution in the 1800s. The earth's climate is sensitive to alterations in these levels of carbon dioxide and other greenhouse gases (GHG), with significant changes in climate predicted long term. The adoption of the Kyoto Protocol in 1997 heralded a new age in terms of greenhouse gas accounting and emissions responsibility, for all nations. In Australia, carbon emissions from the Land Use and Land Use Change and Forestry sector are responsible for a large proportion of the national

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14

De, Beyer Leigh Helen. "Integrated use of polarimetric Synthetic Aperture Radar (SAR) and optical image data for land cover mapping using an object-based approach." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/97934.

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Thesis (MA)--Stellenbosch University, 2015.<br>ENGLISH ABSTRACT: Image classification has long been used in earth observation and is driven by the need for accurate maps to develop conceptual and predictive models of Earth system processes. Synthetic aperture radar (SAR) imagery is used ever more frequently in land cover classification due to its complementary nature with optical data. There is therefore a growing need for reliable, accurate methods for using SAR and optical data together in land use and land cover classifications. However, combining data sets inevitably increases data dimensi

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15

Ishitsuka, Kazuya. "Synthetic Aperture Radar Interferometry Time-series for Surface Displacement Monitoring: Data interpretation and improvement in accuracy." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199261.

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Trisasongko, Bambang Physical Environmental &amp Mathematical Sciences Australian Defence Force Academy UNSW. "Monitoring a mine-influenced environment in Indonesia through radar polarimetry." Awarded by:University of New South Wales - Australian Defence Force Academy, 2008. http://handle.unsw.edu.au/1959.4/39747.

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Although remotely sensed data have been employed to assess various environmental problems, relatively few previous studies have focused on the impacts of mining. In Indonesia, mining activities have increasingly become one of major drivers of land cover change. The majority of remote sensing research projects on mining environments have exploited optical data which are frequently complicated by tmospheric disturbance, especially in tropical territories. Active remote sensors such as Synthetic Aperture Radar (SAR) are invaluable in this case. Monitoring by Independent SAR data has been limited

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17

Shirvany, Réza. "Estimation of the Degree of Polarization in Polarimetric SAR Imagery : Principles and Applications." Thesis, Toulouse, INPT, 2012. http://www.theses.fr/2012INPT0082/document.

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Les radars à synthèse d’ouverture (RSO) polarimétriques sont devenus incontournables dans le domaine de la télédétection, grâce à leur zone de couverture étendue, ainsi que leur capacité à acquérir des données dans n’importe quelles conditions atmosphériques de jour comme de nuit. Au cours des trois dernières décennies, plusieurs RSO polarimétriques ont été utilisés portant une variété de modes d’imagerie, tels que la polarisation unique, la polarisation double et également des modes dits pleinement polarimétriques. Grâce aux recherches récentes, d’autres modes alternatifs, tels que la polaris

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18

Ullmann, Tobias [Verfasser], Roland [Gutachter] Baumhauer, Stefan [Gutachter] Dech, and Hans-Wolfgang [Gutachter] Hubberten. "Characterization of Arctic Environment by Means of Polarimetric Synthetic Aperture Radar (PolSAR) Data and Digital Elevation Models (DEM) / Tobias Ullmann. Gutachter: Roland Baumhauer ; Stefan Dech ; Hans-Wolfgang Hubberten." Würzburg : Universität Würzburg, 2015. http://d-nb.info/111178387X/34.

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19

Barrachina, Jose Agustin. "Complex-valued neural networks for radar applications." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG094.

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Le traitement des signaux radars et des images SAR nécessite généralement des représentations et des opérations à valeurs complexes, telles que les transformées de Fourier et d'ondelettes, les filtres de Wiener et les filtres adaptés, etc. Cependant, la grande majorité des architectures d'apprentissage profond sont actuellement basées sur des opérations à valeurs réelles, ce qui limite leur capacité d'apprentissage à partir de données complexes. Malgré l'émergence des réseaux de neurones à valeurs complexes (CVNN), leur application au radar et à l'imagerie SAR manque encore d'études sur leur p

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20

El, Hajj Chehade Bassam. "Traitements tomographiques pour la caractérisation de forêts tropicales à l'aide des données SAR polarimétriques." Thesis, Rennes 1, 2017. http://www.theses.fr/2017REN1S081.

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Dans le cycle de carbone à l'échelle de la planète, la contribution des forêts tropicales, en tant que stock de carbone, est déterminante. Les études actuelles montrent que la connaissance précise de la biomasse forestière globale est nécessaire pour les modèles de prévision. C'est dans ce contexte que le projet BIOMASS est choisi par l'Agence spatiale européenne (ESA) comme une phase A du programme «Earth Core Mission». L'objectif de cette mission innovatrice est l'utilisation d'un système d'imagerie polarimétrique fonctionnant en bande P (435 MHz) pour la mesure de la biomasse forestière. La

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21

López, Martinez Carlos. "Multidimensional speckle noise. Modelling and filtering related to sar data." Doctoral thesis, Universitat Politècnica de Catalunya, 2003. http://hdl.handle.net/10803/6921.

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Los Radares de Apertura Sintética, o sistemas SAR, representan el mejorejemplo de sistemas activos de teledetección por microondas. Debido a su naturaleza coherente, un sistema SAR es capaz de adquirir información dedispersión electromagnética con una alta resolución espacial, pero por otro lado, esta naturaleza coherente provoca también la aparición de speckle.A pesar de que el speckle es una medida electromagnética, sólo puede ser analizada como una componente de ruido debido a la complejidad asociadacon el proceso de dispersión electromagnética.Para eliminar los efectos del ruido speckle ad

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22

Wasik, Valentine. "Analyse de la précision d’estimation de deux systèmes d’imagerie polarimétrique." Thesis, Aix-Marseille, 2016. http://www.theses.fr/2016AIXM4348.

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L’imagerie polarimétrique permet d’estimer certaines caractéristiques d’un milieu qui peuvent ne pas être révélées par imagerie d’intensité standard. Cependant, les mesures effectuées peuvent être fortement perturbées par des fluctuations inhérentes aux processus physiques d’acquisition. Ces fluctuations sont difficiles à atténuer, notamment à cause de la fragilité des milieux observés ou de l’inhomogénéité des images acquises. Il est alors utile de caractériser la précision des estimations qu’il est possible d’obtenir. Dans cette thèse, cette question est abordée au travers de deux applicatio

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23

Nasonova, Sasha. "Estimating Arctic sea ice melt pond fraction and assessing ice type separability during advanced melt." Thesis, Remote Sensing, 2017. https://dspace.library.uvic.ca//handle/1828/9313.

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Arctic sea ice is rapidly declining in extent, thickness, volume and age, with the majority of the decline in extent observed at the end of the melt season. Advanced melt is a thermodynamic regime and is characterized by the formation of melt ponds on the sea ice surface, which have a lower surface albedo (0.2-0.4) than the surrounding ice (0.5-0.7) allowing more shortwave radiation to enter the system. The loss of multiyear ice (MYI) may have a profound impact on the energy balance of the system because melt ponds on first-year ice (FYI) comprise up to 70% of the ice surface during advanced m

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24

Yates, Gillian. "Bistatic synthetic aperture radar." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1446870/.

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Synthetic aperture radar (SAR) allows all-weather, day and night, surface surveillance and has the ability to detect, classify and geolocate objects at long stand-off ranges. Bistatic SAR, where the transmitter and the receiver are on separate platforms, is seen as a potential means of countering the vulnerability of conventional monostatic SAR to electronic countermeasures, particularly directional jamming, and avoiding physical attack of the imaging platform. As the receiving platform can be totally passive, it does not advertise its position by RF emissions. The transmitter is not susceptib

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25

Mak, Karen. "Arrayed synthetic aperture radar." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/32382.

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In this thesis, the use of array processing techniques applied to Single Input Multiple Output (SIMO) SAR systems with enhanced capabilities is investigated. In Single Input Single Output (SISO) SAR systems there is a high resolution, wide swath contradiction, whereby it is not possible to increase both cross-range resolution and the imaged swath width simultaneously. To overcome this, a novel beamformer for SAR systems in the cross-range direction is proposed. In particular, this beamformer is a superresolution beamformer capable of forming wide nulls using subspace based approaches. SIMO SAR

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26

Chua, Cheng Lock Charles. "Doppler-only synthetic aperture radar." Thesis, Monterey, Calif. : Naval Postgraduate School, 2006. http://bosun.nps.edu/uhtbin/hyperion.exe/06Dec%5FChua.pdf.

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Thesis (M.S. in Combat Systems Sciences and Technology)--Naval Postgraduate School, December 2006.<br>Thesis Advisor(s): Brett Borden, Donald Walters. "December 2006." Includes bibliographical references (p. 69-70). Also available in print.

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27

Duersch, Michael Israel. "Backprojection for Synthetic Aperture Radar." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/4060.

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Synthetic aperture radar (SAR) is a type of radar capable of high-resolution coherent imaging. In order to produce coherent imagery from raw SAR data, an image formation algorithm is employed. The various image formation algorithms have strengths and weaknesses. As this work shows, time-domain backprojection is one algorithm whose strengths are particularly well-suited to use at low-altitudes. This work presents novel research in three areas regarding time-domain backprojection. The first key contribution of this work is a detailed analysis of SAR time-domain backprojection. The work derives a

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28

She, Zhishun. "Array processing methods for calibrating Inverse Synthetic Aperture Radar and Multiple Pass Synthetic Aperture Radar." Title page, contents and abstract only, 2000. http://web4.library.adelaide.edu.au/theses/09PH/09phs5389.pdf.

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Table of corrections inserted opposite table of contents. Bibliography: p.191-212. Investigates calibration for errors of a synthetic aperture in Inverse Synthetic Aperture Radar and Multiple Pass Synthetic Aperture Radar. Both are reviewed as the problems of array processing and are solved from the point of array calibration.

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29

Hagedorn, Michael. "Classification of synthetic aperture radar images." Thesis, University of Canterbury. Electrical and Computer Engineering, 2004. http://hdl.handle.net/10092/5966.

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In this thesis the maximum a posteriori (MAP) approach to synthetic aperture radar (SAR) analysis is reviewed. The MAP model consists of two probability density functions (PDFs): the likelihood function and the prior model. Contributions related to both models are made. As the first contribution a new likelihood function describing the multilook three-polarisation intensity SAR speckle process, which is equivalent to the averaged squared amplitude samples from a three-dimensional complex zero-mean circular Gaussian density, has been derived. This PDF is a correlated three-dimensional chi-squa

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30

Bhattacharya, Sujit. "Coding of synthetic aperture radar data." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/11959.

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Synthetic Aperture Radar (SAR) is a dedicated high-resolution sensor with imaging capability in all weather and day-night conditions and has been employed in several earth and interplanetary observation applications. A significant characteristic of this system is the generation of a large amount of data that involves major problems related to on-board data storage and downlink transmission. The near future SAR satellite missions planned would be pushing downlink data bandwidths to prohibitive levels, which dictate efficient on-board compression of raw data. Due to the limitation of the on-boar

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31

Kelly, Shaun Innes. "Iterative synthetic aperture radar imaging algorithms." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/9368.

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Synthetic aperture radar is an important tool in a wide range of civilian and military imaging applications. This is primarily due to its ability to image in all weather conditions, during both the day and the night, unlike optical imaging systems. A synthetic aperture radar system contains a step which is not present in an optical imaging system, this is image formation. This is required because the acquired data from the radar sensor does not directly correspond to the image. Instead, to form an image, the system must solve an inverse problem. In conventional scenarios, this inverse problem

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32

Golda, Peter John. "Software simulation of synthetic aperture radar." Master's thesis, University of Cape Town, 1997. http://hdl.handle.net/11427/26092.

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The purpose of this report is to set out the results of the development of SAR simulation software. The aim of the thesis was to develop such software so that it provides the necessary functionality but is still flexible and simple to use. It addition it must be developed such that it may be compiled and run on as many platforms as possible and future functionality may be added with ease. All this in order to enable other RRSG members to obtain known simulated SAR data for the purpose of testing SAR processing algorithms.

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Matthew, Pianto Donald. "Modeling synthetic aperture radar image data." Universidade Federal de Pernambuco, 2008. https://repositorio.ufpe.br/handle/123456789/7128.

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Made available in DSpace on 2014-06-12T18:29:09Z (GMT). No. of bitstreams: 2 arquivo4274_1.pdf: 5027595 bytes, checksum: 37a31f281a0f888465edbdc60cb2db39 (MD5) license.txt: 1748 bytes, checksum: 8a4605be74aa9ea9d79846c1fba20a33 (MD5) Previous issue date: 2008<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Nessa tese estudamos a estimação por máxima verossimilhança (MV) do parâmetro de aspereza da distribuição G 0 A de imagens com speckle (Frery et al., 1997). Descobrimos que, satisfeita uma certa condição dos momentos amostrais, a função de verossimilhança é monótona e

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Green, Ryan K. "Scaled Synthetic Aperture Radar System Development." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1498.

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Synthetic Aperture Radar (SAR) systems generate two dimensional images of a target area using RF energy as opposed to light waves used by cameras. When cloud cover or other optical obstructions prevent camera imaging over a target area, SAR can be substituted to generate high resolution images. Linear frequency modulated signals are transmitted and received while a moving imaging platform traverses a target area to develop high resolution images through modern digital signal processing (DSP) techniques. The motivation for this joint thesis project is to design and construct a scaled SAR system

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Legg, Jonathan Andrew. "Synthetic aperture radar using non-uniform sampling." Title page, contents and abstract only, 1997. http://web4.library.adelaide.edu.au/theses/09PH/09phl513.pdf.

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Bruno, Davide. "Geosynchronous synthetic aperture radar : design and applications." Thesis, Cranfield University, 2009. http://dspace.lib.cranfield.ac.uk/handle/1826/5618.

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Synthetic Aperture Radar (SAR) imaging from geosynchronous orbit has significant potential advantages over conventional low-Earth orbit (LEO) radars, but also challenges to overcome. This thesis investigates both active and passive geosynchronous SAR configurations, presenting their different features and advantages. Following a system design trade-off that involved phase uncertainties, link budget, frequency and integration time, an L band bi-static configuration with 8-hour integration time that reuses the signal from a non-cooperative transmitter has been presented as a suitable solution. C

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Wanwiwake, Tippawan. "A microsatellite based synthetic aperture radar (SAR)." Thesis, University of Surrey, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.548360.

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Garcia, Frank W. Jr. "Sea ice classification using synthetic aperture radar." Thesis, Monterey, California: Naval Postgraduate School, 1990. http://hdl.handle.net/10945/27745.

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Approved for public release; distribution is unlimited.<br>This study employs Synthetic Aperture Radar (SAR) imagery from the Marginal Ice Zone Experiment (MIZEX) 1987 to identify an optimal set of statistical descriptors that accurately classify three types of ice (first-year, multiyear, odden) and open water. Two groups of statistics, univariate and texture, are compared and contrasted with respect to their skill in classifying the ice types and open water. Individual statistical descriptors are subjected to principal component analysis and discriminant analysis. Principal component analysis

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Lee, Woo Kyung. "Waveform design for advanced synthetic aperture radar." Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342178.

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Wong, Wallace D. (Wallace Dazheng). "Synthetic Aperture Radar Interferometry with 3 satellites." Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/34120.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.<br>Includes bibliographical references (p. 125-128).<br>Our study investigates interferometric SAR (InSAR) post-processing height retrieval techniques. We explore the possible improvements by adding a third satellite to the two already in orbit, and examine some potential uses of this setup. As such, we investigate three methods for height retrieval and compare their results with the original 2-satellite method. The first approach is data averaging; a simple method that extends fro

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Schlutz, Matthew. "Synthetic Aperture Radar Imaging Simulated in MATLAB." DigitalCommons@CalPoly, 2009. https://digitalcommons.calpoly.edu/theses/92.

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This thesis further develops a method from ongoing thesis projects with the goal of generating images using synthetic aperture radar (SAR) simulations coded in MATLAB. The project is supervised by Dr. John Saghri and sponsored by Raytheon Space and Airborne Systems. SAR is a type of imaging radar in which the relative movement of the antenna with respect to the target is utilized. Through the simultaneous processing of the radar reflections over the movement of the antenna via the range Doppler algorithm (RDA), the superior resolution of a theoretical wider antenna, termed synthetic aperture,

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42

Laubie, Ellen. "Aspect Diversity for Bistatic Synthetic Aperture Radar." University of Dayton / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1492420649395159.

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Wray, Lisa Shannon. "Synthetic aperture radar image simulator for interferometry." Master's thesis, University of Cape Town, 2001. http://hdl.handle.net/11427/5078.

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Bibliography: leaves 111-113.<br>An interferometric synthetic aperture radar (SAR) simulator was created for the purposes of experimenting with and demonstration of the interferometric process, mission planning and radar image interpretation. The simulation method employs image statistics and terrain geometry to form a synthetic image and requires inputs of a digital elevation model (DEM), flight path, description, radar parameters, a terrain classification map and temporal decorrelation factors. Output images include the following images: radar cross section, power, total coherence, temporal

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Akyildiz, Yeliz. "Feature extraction from synthetic aperture radar imagery." Connect to resource, 2000. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1258651629.

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Liu, Jun. "Ionospheric effects on synthetic aperture radar imaging /." Thesis, Connect to this title online; UW restricted, 2003. http://hdl.handle.net/1773/5890.

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Duncan, David P. "Motion Compensation of Interferometric Synthetic Aperture Radar." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd477.pdf.

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Garcia, Frank W. "Sea ice classification using synthetic aperture radar." Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA232248.

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Thesis (M.S. in Meteorology and Physical Oceanography)--Naval Postgraduate School, June 1990.<br>Thesis Advisor(s): Nystuen, J.A. ; Bourke, R.H. "June 1990." "MPS-68-90-004." Description based on title screen as viewed on March 24, 2010. DTIC Identifier(s): Radar Images, Sea Ice, Marginal Ice Zones, Ice Classification, Statistical Analysis, Gray Scale, Odden Ice, Theses. Author(s) subject terms: Synthetic Aperture Radar, Sea Ice Classification, Marginal Zone, Gray Level Co-Occurrence Matrices, Texture Statistics, Univariate Statistics, MIZEX '87 SAR Data. Includes bibliographical references (p

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Knight, Chad P. "Convex Model-Based Synthetic Aperture Radar Processing." DigitalCommons@USU, 2014. https://digitalcommons.usu.edu/etd/2340.

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The use of radar often conjures up images of small blobs on a screen. But current synthetic aperture radar (SAR) systems are able to generate near-optical quality images with amazing benefits compared to optical sensors. These SAR sensors work in all weather conditions, day or night, and provide many advanced capabilities to detect and identify targets of interest. These amazing abilities have made SAR sensors a work-horse in remote sensing, and military applications. SAR sensors are ranging instruments that operate in a 3D environment, but unfortunately the results and interpretation of SAR i

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West, Roger D. "Model-Based Stripmap Synthetic Aperture Radar Processing." DigitalCommons@USU, 2011. https://digitalcommons.usu.edu/etd/962.

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Synthetic aperture radar (SAR) is a type of remote sensor that provides its own illumination and is capable of forming high resolution images of the reflectivity of a scene. The reflectivity of the scene that is measured is dependent on the choice of carrier frequency; different carrier frequencies will yield different images of the same scene. There are different modes for SAR sensors; two common modes are spotlight mode and stripmap mode. Furthermore, SAR sensors can either be continuously transmitting a signal, or they can transmit a pulse at some pulse repetition frequency (PRF). The work

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Shoalehvar, Amin. "Synthetic Aperture Radar (SAR) Raw Signal Simulation." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/755.

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Abstract Synthetic Aperture Radar (SAR) Raw Signal Simulation Author: Amin Shoalehvar Synthetic aperture radar (SAR) raw signal simulation is a useful tool for SAR system design, mission planning, processing algorithm testing, and inversion algorithm design. This thesis explores a SAR raw signal simulation. The raw signal simulation is the simulated received signal before any processing with exception of the down-converter. The simulation plays a significant role in studies concerning noise and clutter rejection and contributes toward optimizing SAR system parameters. To simulate SAR raw data,

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