Matched filtering-based estimation of ground elevation using laser altimetry

Anderson, Jeremy; Qatshan, A.S.A.

doi:10.1109/36.957279

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…ToA based distance measurement has been used since before World War II [17] and has been contributed by numerous researchers. Localization accuracy improvements and filtering techniques for tracking independent, non-corporative targets have been investigated extensively in the past research [14], [18], [19]. In this paper, a cooperative/multi-sensor target tracking problem is considered, where multiple emitters are tracked simultaneously using the ToA measurements with a geo-stationary 1 sensors, as well as using emitter-emitter distance measurements.…”

Section: Introductionmentioning

confidence: 99%

Multiple emitter localization using range only measurements considering geometrical constraints

Ekanayake

Pathirana

Caelli

2012

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)

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This paper proposes a constrained optimization approach to improve the accuracy of a Time-of-Arrival (ToA) based multiple target localization system. Instead of using an overdetermined measurement system, this paper uses local distance measurements between the targets/emitters as the geometric constraint.Computer simulations are used to evaluate the performance of the geometrically constrained optimization method.

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Section: Introductionmentioning

confidence: 99%

Multiple emitter localization using range only measurements considering geometrical constraints

Ekanayake

Pathirana

Caelli

2012

2012 IEEE International Conference on Robotics and Biomimetics (ROBIO)

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“…Unlike the other techniques, which require (a minimum of) two complex SAR images, possibly acquired at the same time, SfS has the main feature and advantage of requiring just one intensity image. Other existing techniques, as radar and laser altimetry, require no images at all [18,19]. However, they provide one-dimensional (1-D) height profiles rather than two-dimensional (2-D) maps, thus requiring a huge number of passes and some kind of interpolation methods in order to link the different profiles and provide an estimation of the underlying topography.…”

Section: Introductionmentioning

confidence: 99%

Fractal-Based Local Range Slope Estimation from Single SAR Image with Applications to SAR Despeckling and Topographic Mapping

2018

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In this paper, we propose a range slope estimation procedure from single synthetic aperture radar (SAR) images with both methodological and applicative innovations. The retrieval algorithm is based on an analytical linearized direct model, which relates the SAR intensity data to the range local slopes and encompasses both a surface model and an electromagnetic scattering model. Scene topography is described via fractal geometry, whereas the Small Perturbation Method is adopted to represent the scattering behavior of the surface. The range slope map is then used to estimate the surface topography and the local incidence angle map. For topographic mapping applications, also referred to as shape from shading, a regularization procedure is derived to recover the azimuth local slope and reduce distortions. Then we present a new intriguing application of the inversion procedure in the field of SAR despeckling. Proposed techniques and high-level products are tested in a wide series of experiments, where the algorithms are applied to both simulated (canonical) and actual SAR images. It is proved that the proposed range slope retrieval technique can (1) provide an estimate of the surface shape, with overall better performance w.r.t. typical models used in this field and (2) be useful in advanced despeckling techniques.

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