Results 271 to 280 of about 6,415,065 (280)
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The Effect of Limiting upon the Mean Cross Section of Log-Normal Radar Clutter

IEEE Transactions on Aerospace and Electronic Systems, 1973
A log-normal variate is described by its median value and by the standard deviation of In(?c/?m), where ?c is the variate and ?m is its median value. For radar applications, the mean value of the variate is useful, and this correspondence derives the effect upon the mean value of various degrees of limiting.
openaire   +1 more source

Normalized back scattering radar cross section of tropical rain forest in Rondonia, northern Brazil

Advances in Space Research, 1997
Abstract Taking an advantage of Synthetic Aperture Radar (SAR) on board Japanese Earth Resources Satellite-1 (JERS-1) in capability of observing land surfaces through clouds, an attempt is made to extract deforested areas of tropical rain forests in Rondonia, Brazil.
Y. Hashimoto, K. Tsuchiya, T. Iijima
openaire   +1 more source

Calibration and Inversion of OSCOM Airborne Campaign Normalized Radar Cross-Sections

Peer ...
Wang, Shilei   +4 more
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Ka-Band Radar Cross-Section of Breaking Wind Waves

Remote Sensing, 2021
Bertrand Chapron   +2 more
exaly  

Efficient Calculation of the Kirchhoff Integral for Predicting the Bistatic Normalized Radar Cross Section of Ocean-Like Surfaces

IEEE Transactions on Geoscience and Remote Sensing, 2023
Joel T. Johnson   +3 more
openaire   +1 more source

A Comparison of Normalized Radar Cross Section Measurements and Models for Snow Cover at 35,95, and 225 Ghz

[Proceedings] IGARSS '92 International Geoscience and Remote Sensing Symposium, 2005
S.P. Lohmeier, P.M. Langlois, J.G. Colom
openaire   +1 more source

Effect of Faraday Rotation on L-Band Ocean Normalized Radar Cross Section and Wind Speed Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
Takeshi Motohka   +2 more
exaly  

A two-scale model to predict C-band VV and HH normalized radar cross section values over the ocean

Canadian Journal of Remote Sensing, 2002
William G Pichel, Xiaofeng Li
exaly  

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