Bistatic Radar Configuration for Soil Moisture Retrieval: Analysis of the Spatial Coverage-Reference-Cited by-同舟云学术

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Bistatic Radar Configuration for Soil Moisture Retrieval: Analysis of the Spatial Coverage

Published:2009-09-10 Issue:9 Volume:9 Page:7250-7265
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Pierdicca Nazzareno,De Titta Ludovico,Pulvirenti Luca,Della Pietra Giuliano

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/9/9/7250/pdf

Reference18 articles.

1. Bistatic Radar;Willis,1991

2. Radar bistatic configurations for soil moisture retrieval: a simulation study;Pierdicca;IEEE Trans. Geosci. Rem. Sens,2008

3. Comparison of monostatic and bistatic radar images;Burkholder;IEEE Antenn. Propag. Mag,2003

4. Moving target detection in foliage using along track monopulse synthetic aperture radar imaging;Soumekh;IEEE Trans. Image Proc,1997

5. Spacecraft studies of planetary surfaces using bistatic radar;Simpson;IEEE Trans. Geosci. Rem. Sens,1993

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Soil Moisture Retrieval Using Multistatic L-Band SAR and Effective Roughness Modeling;Remote Sensing;2022-03-30

2. Retrieval of Biogeophysical Parameters From Bistatic Observations of Land at L-Band: A Theoretical Study;IEEE Transactions on Geoscience and Remote Sensing;2022

3. Assessing the Potential of Fully Polarimetric Mono- and Bistatic SAR Acquisitions in L-Band for Crop and Soil Monitoring;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022

4. Optimization of Transmitter-Receiver Pairing of Spaceborne Cluster Flight Netted Radar for Area Coverage and Target Detection;Mathematical Problems in Engineering;2021-03-10

5. Optimization of dual-polarized bistatic specular scatterometer for studying microwave scattering response and vegetation growth parameters retrieval of paddy crop using a machine learning algorithm;Computers and Electronics in Agriculture;2020-08

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