Apodization functions for 2-D hexagonally sampled synthetic aperture imaging radiometers

Anterrieu, Éric; Waldteufel, Philippe; Lannes, A.

doi:10.1109/tgrs.2002.1176146

Cited by 81 publications

(52 citation statements)

References 13 publications

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“…However, the impact of contamination through side lobes and the outer part of the main lobe is also an important factor in selecting the window. For optimization purposes, a particular apodization function has to be selected among many possibilities [Anterrieu et al, 2003]. In what follows, we have used the (exact) Blackmann window, as it is expected to be close to an optimum in terms of protection against contamination in the vicinity of a target discontinuity line such as a coastline.…”

Section: What Is Meant By Optimizationmentioning

confidence: 99%

Selecting an optimal configuration for the Soil Moisture and Ocean Salinity mission

2003

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The Soil Moisture and Ocean Salinity (SMOS) mission is aimed at monitoring, globally, surface soil moisture and sea surface salinity from radiometric L‐band observations. The SMOS radiometer relies upon a two‐dimensional (2‐D) synthetic aperture concept in order to achieve satisfactory spatial resolution performances for a minimal cost in terms of payload mass and volume. Counterparts of this advantage are reduced radiometric sensitivity and increased complexity. The performances expected from SMOS, in terms of measurement accuracy, spatial resolution, and revisit time, depend on many parameters, among which several are crucial for assessing the payload and mission configurations. Most prominent among those configuration parameters are the flight altitude, the length of the interferometer arms, the spacing between radiating elements, and the tilt angle of the antenna plane. Their selection has to be optimized, so as to satisfy both scientific requirements and main technical constraints. This paper describes the way the optimization was carried out during the SMOS phase A. After assessing the main drivers on instrument configuration from the science requirements, the goal was to find an optimal trade‐off, minimizing technical challenges while fulfilling the science objectives. It was found that, even though salinity retrievals are the most challenging, soil moisture retrievals were the most demanding in terms of mission definition and that a configuration exists to satisfy the required retrieval accuracies. The obtained configuration was then checked against ocean salinity retrievals and found satisfactory.

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Section: What Is Meant By Optimizationmentioning

confidence: 99%

Selecting an optimal configuration for the Soil Moisture and Ocean Salinity mission

2003

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“…Some specific window functions can be applied on the measured visibility function samples, which can reduce the side-lobe level of the synthesized pattern, but also broaden the main beam and reduce the spatial resolution of the image. Some commonly used window functions include: Hanning, Hamming, Blackman, Kaiser and some other functions (Harris, 1978 andAnterrieu et al, 2002). Different window functions can achieve a different balance between the side-lobe level and main beam width.…”

Section: Fig 4 Visibility Function Sampling and Image Aliasingmentioning

confidence: 99%

Interferometric Imaging Technology for Microwave Radiometers

Wu¹,

Líu²,

Yan³

et al. 2010

Geoscience and Remote Sensing New Achievements

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“…The retrieved image from the synthetic aperture is generated assuming that the elemental antenna patterns are known and identical and follow the shape of the parabolic Potter horn [4]. The synthetic aperture with a taper has a triangular apodization applied, where the taper is a function of a single radial variable [30]. In addition, no noise is added to the images.…”

Section: A Comparison To An Ideal Real Aperture Antennamentioning

confidence: 99%

A High-Resolution Full-Earth Disk Model for Evaluating Synthetic Aperture Passive Microwave Observations From GEO

Lim

Ruf

2009

IEEE Trans. Geosci. Remote Sensing

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Abstract-A proposed instrument for deployment on nextgeneration Geostationary Operational Environmental Satellite (GOES) platforms is the Geostationary Synthetic Thinned Aperture Radiometer (GeoSTAR). A high-resolution full-Earth disk model has been developed to aid in the design of the instrument and to characterize sensor performance. A number of ancillary geophysical data fields are used as inputs into a radiativetransfer model that also accounts for the propagation and viewing geometries from a geostationary Earth orbit (GEO). The model produces high-resolution (10 km × 10 km) simulated full-Earth disk microwave images from GEO. The model is used as a tool to examine several critical aspects of GeoSTAR performance and design. Differential image processing is assessed as a means of mitigating the effects of the Gibbs phenomenon; its performance is found to be excellent, even with nonideal a priori information. The spatial resolution and precision of images generated at 50 GHz are evaluated. The magnitude of the highest spatial-frequency components sampled by GeoSTAR is found to be well above its minimum detectable signal. However, the differential image processing removes most of the high-frequency content, which is due to static high-contrast boundaries in the scene. Most of the residual high-frequency content lies at or below the instrument noise floor.Index Terms-Microwave radiometry, remote sensing, synthetic aperture imaging.

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Apodization functions for 2-D hexagonally sampled synthetic aperture imaging radiometers

Cited by 81 publications

References 13 publications

Selecting an optimal configuration for the Soil Moisture and Ocean Salinity mission

Selecting an optimal configuration for the Soil Moisture and Ocean Salinity mission

Interferometric Imaging Technology for Microwave Radiometers

A High-Resolution Full-Earth Disk Model for Evaluating Synthetic Aperture Passive Microwave Observations From GEO

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