Peter Meadows
BAE Systems
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Featured researches published by Peter Meadows.
IEEE Transactions on Geoscience and Remote Sensing | 2010
Kim C. Partington; J. Dominic Flach; David G. Barber; Dustin Isleifson; Peter Meadows; Paul Verlaan
Polarimetric observations of sea ice from synthetic aperture radar can, in principle, assist in sea-ice classification and ice-water discrimination. In this paper, we use dual-polarization ground-based scatterometer observations of sea ice to assess the potential value of spaceborne dual-polarization observations of sea ice for operational ice analysis, focusing on C-band and, in particular, the contribution of the HV backscatter coefficient and HH/VV polarization ratios. Results show that signature variability resulting from frost flowers, ice deformation, and snow cover can overwhelm systematic differences between younger ice types, up to first-year thin. As a result of this and noise floor limitations of spaceborne sensors, the HV backscatter coefficient makes visual ice type and open water discrimination easier only below about 30° incidence angle. The HH/VV ratio is less impacted by the noise floor of spaceborne sensors but retains similar ambiguities for sea-ice classification.
international geoscience and remote sensing symposium | 2007
Thomas Börner; Konstantinos Papathanassiou; Nicolas Marquart; Manfred Zink; M. Meininger; Peter Meadows; A.J. Rye; Patricia Wright; B. Rosich Tell
ALOS, an enhanced successor of the Japanese Earth Resources Satellite 1 (JERS-1), was launched from JAXAs Tanegashima Space Center in January 2006. An important contribution to the ALOS mission is the verification of PALSAR products to be distributed by the European ADEN node using the PALSAR processor developed by JAXA. A total of 28 ALOS PALSAR products have been analysed with respect to radiometric, geometric and polarimetric quality (including effects of Faraday rotation caused by the ionosphere) and a summary of the results is shown in this paper.
IEEE Transactions on Geoscience and Remote Sensing | 2006
Urs Wegmüller; Ralph A. Cordey; Charles Werner; Peter Meadows
Large differences are observed between radar backscatter measurements made by the ENVISAT and ERS-2 satellite synthetic aperture radars, within 30 min of each other over certain agricultural fields in Flevoland, The Netherlands. The differences appear to be caused by the presence of highly directive scattering combined with very small variations in the azimuth illumination angle of the two sensors at the degree or subdegree level. There is relatively little awareness of such sensitivity to illumination direction, and it is not predicted by models for microwave interaction usually applied to soils and vegetation. It is, however, to be expected if there are significant contributions from coherent scattering extending over patches of the agricultural fields in question. We present analysis that supports such a conclusion.
international geoscience and remote sensing symposium | 2016
Y. S. Rao; Peter Meadows; Vineet Kumar
Synchronous with RISAT-1 and RADARSAT-2 passes, corner reflectors (CR) were mounted for the evaluation of radiometric calibration of RISAT-1 compact polarimetric SAR data. Based on the CRs response on SLC images, RISAT-1 calibration constant, PSLR/ISLR, resolution, channel imbalance and cross-talk were analyzed and compared with that of product specifications. A difference of 0.5 to 1.5 dB is observed between product and estimated calibration constant K. The resolution and PSLR/ISLR are better than the specification of the product. Backscattering coefficient and compact polarimetric parameters of RISAT-1 were compared with RADARSAT-2 simulated compact polarization. The large difference in sigma-0 is observed for water and sand features due to high value of noise-equivalent-sigma-zero of RISAT-1. Similarly, some differences are observed between RISAT-1 estimated compact polarimetric parameters (m, mc, δ, χ, axial ratio, CPR) and that of RADARSAT-2 simulated compact data.
international geoscience and remote sensing symposium | 2015
Nuno Miranda; Peter Meadows; Guillaume Hajduch; Alan Pilgrim; Riccardo Piantanida; Davide Giudici; David Small; Adrian Schubert; Romain Husson; Pauline Vincent; Alexis Mouche; Harald Johnsen; Giovanna Palumbo
This paper addresses the results of the instrument and product performance verification, radiometric and geometric calibration achieved during the since commissioning and routine phase.
international geoscience and remote sensing symposium | 2007
B.R. Tell; Andrea Monti-Guarnieri; Peter Meadows; D. D'Aria; M. Tranfaglia; M. Santuari; I.N. Traver
ENVISAT ASAR is successfully operating since March 2002 and resulting ASAR products are operationally distributed to the user community since December 2002. This paper provides an update of the ASAR performance, from the instrument status to the product quality assessment.
international geoscience and remote sensing symposium | 2017
Vineet Kumar; Dipankar Mandal; Y. S. Rao; Peter Meadows
This paper compares the classification capability of data acquired in hybrid and dual linear polarization mode over the Chelmsford area, United Kingdom, from RISAT-1 C-band satellite. Support vector machine based supervised classification is used in the study and accuracy is assessed over the validation pixels. The hybrid-pol RH/RV combination shows better classification accuracy over linear pol HH/HV combination by 2.5 %. Overall classification accuracy is increased to 90% over the given area when Stokes parameter are added to the polarization combination.
international geoscience and remote sensing symposium | 2017
Nuno Miranda; Peter Meadows; Riccardo Piantanida; Andrea Recchia; David Small; Adrian Schubert; Pauline Vincent; Dirk Geudtner; Ignacio Navas-Traver; Francisco Ceba Vega
This paper addresses the results of the instrument and product performance verification, radiometric and geometric calibration achieved since the end of the respective Sentinel-1 A and B commissioning phases.
Archive | 1998
Peter Meadows; Henry Laur; Birgit Schättler
Archive | 1998
Peter Meadows; Henry Laur; J.I. Sanchez; Birgit Schättler