C
Christopher John Oliver
Researcher at Defence Research Agency
Publications - 49
Citations - 3387
Christopher John Oliver is an academic researcher from Defence Research Agency. The author has contributed to research in topics: Synthetic aperture radar & Clutter. The author has an hindex of 21, co-authored 49 publications receiving 3295 citations. Previous affiliations of Christopher John Oliver include General Electric & University College Hospital.
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Understanding Synthetic Aperture Radar Images
TL;DR: In this paper, the principles of SAR image image formation are discussed and an analysis technique for multi-dimensional image analysis is presented based on RCS Reconstruction Filters and Texture Exploitation.
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Optimum texture estimators for SAR clutter
TL;DR: In this article, the authors analyzed various estimators for characterizing synthetic aperture radar clutter textures and compared their predicted performance with the maximum likelihood estimates in a search for robust, optimum texture estimators.
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Optimum edge detection in SAR
TL;DR: Different window configurations and measures for detecting edges between regions of different mean in synthetic-aperture radar (SAR) images are compared in this paper, and the performance degradation encountered when the tests are applied to the scenario for which they are not optimised is compared and the test which best meets both original criteria is identified.
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A Model for Non-Rayleigh Scattering Statistics
TL;DR: In this article, a model in which the array of scatterers is represented by a Γ -lorentzian cross-section fluctuation is proposed, and the autocorrelation function and moments of the detected intensity for radiation of arbitrary beamwidth and wavefront curvature are derived.
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Information from SAR images
TL;DR: In this paper, the importance of prior knowledge about the form of the scene for interpreting the image data is shown and different types of model are introduced and their implications for information extraction are examined.