Remote Sensing with Polarimetric Radar

Mott, H.

doi:10.1002/0470079819

Cited by 62 publications

(73 citation statements)

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“…The larger quantity with more complex configuration is more prone to polarized wave due to the small value . And the result also validate that in [5] which is larger values are less able to polarize waves than those with smaller values. Characteristic Angle (rads) Quantity…”

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confidence: 71%

“…Nevertheless, to the authors' knowledge, there is nothing about how to determine the exact quantity. A novel method, CPS [5] has been proposed recently to observe the target polarisation. Successful story has been revealed to differ two L-shape targets with different wire length [6].…”

mentioning

confidence: 99%

“…According to [5], the polarisation ratio P i for i = 1,2,3,4 is key parameter in determination of characteristic polarisation state and it can be deduced from above matrix. P 1 and P 2 are two maximum backscattered powers.…”

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confidence: 99%

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Egg quantity determination based on characteristic polarisation state

Brown

2012

Electron. Lett.

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Due to the disability of traditional Complex Natural Resonant method (CNR), the Characteristic Polarisation State (CPS) method is proposed to determine egg quantity in a box with a two by three eggs configuration. Parameters are investigated for different egg quantity scenarios and the results show a potential way to determine number in terms of characteristic angle .Introduction: Ultra wideband target identification is very useful in a number of applications such as military, security control, biomedical and internet of things. Intelligent fridges will become an important component of internet of things to improve quality of life. Monitoring the number of eggs in a fridge would be one application of this. As it can be known, RFID techniques can be applied to determine the rough location of an item such as a box of eggs but it cannot determine the exact quantity of eggs in the box. One possible solution is to add an RFID tag to every egg, which has disadvantages of cost and potential health risk. Therefore, UWB radar would be a useful complement to RFID in this case to determine items in a fridge and their quantity. Numerous applications on shape identification have been carried out by using the CNR method [1][2][3][4]. In these papers, people can distinguish a sphere and a cylinder or other objects well by comparing the location of independent complex natural poles. Therefore, this would provide a simple way to distinguish milk bottles and egg boxes. Nevertheless, to the authors' knowledge, there is nothing about how to determine the exact quantity. A novel method, CPS [5] has been proposed recently to observe the target polarisation. Successful story has been revealed to differ two L-shape targets with different wire length [6]. Two orthogonal linear polarisations, which are horizontal and vertical polarisation are illuminated and measured in cross and co-polarisation. Then characteristic angle in accordance to CPS is evaluated in order to have the ability to discern the number of eggs.

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Egg quantity determination based on characteristic polarisation state

Brown

2012

Electron. Lett.

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“…The theory of the change of polarisation basis by means of a unitary basis transformation is well understood, Mott (2007). The polarisation basis transformation can be applied to coherent radar measurements if the full polarisation scattering matrix is measured, Schroth et al (1988).…”

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confidence: 99%

Polarisation basis transformation of weather radar measurements in the power domain

Otto

Chandra

2009

Adv. Radio Sci.

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Abstract. Polarisation diversity in radar remote sensing proved to be very successful in a variety of applications. Hydrometeors as raindrops or ice crystals are anisotropic radar targets giving rise to the use of polarisation diversity in weather radars. One advanced polarimetric weather radar is DLR's POLDIRAD in Oberpfaffenhofen. The huge data archive of this radar consists mainly of power measurements at diverse polarisation bases.This study investigates the possibility to apply the polarisation basis transformation directly on power measurements. As a result, empirical transfer functions for the change of the polarisation basis of radar reflectivities are derived. To check their validity they are applied to appropriate polarimetric radar data from the POLDIRAD.

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“…Fully understanding and retrieving information from polarimetric scattering signatures of natural media and SAR images have become a key issue for the SAR remote sensing and its broad applications. Many researches on polarimetric scattering and SAR imagery technology have been carried out (e.g., [1][2][3][4][5][6]). This paper presents a review of the research works in Fudan University (FDU) during recent years on theoretical modeling of the terrain surface for polarimetric scattering simulation and Mueller matrix solution, mono-static and bistatic SAR image simulation, new parameters for unsupervised surface classification, DEM inversion, change detection from multi-temporal SAR images, and reconstructions of buildings from multi-aspect SAR images, etc.…”

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Polarimetric Scattering Modeling and Information Retrieval of Sar Remote Sensing --- A Review of Fdu Work

Jin

2010

PIER

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Abstract-Synthetic aperture radar (SAR) imagery technology is one of most important advances in space-borne microwave remote sensing during recent decades. Completely polarimetric scattering from complex terrain surfaces can be measured. Polarimetric SAR (POLSAR), and its relevant technologies, such as POL-interferometric SAR (POLINSAR), bistatic SAR (POL-BISAR), high resolution (in m and dm resolution) SAR, inverse SAR (ISAR) etc., have been providing rich all-weather, all-time and high-resolution data and images of active miscrowave remote sensing. Fully understanding and retrieving information from polarimetric scattering signatures of natural media and SAR images have become a key issue for the SAR remote sensing and its broad applications. Many researches on polarimetric scattering and SAR imagery technology have been carried out (e.g., [1][2][3][4][5][6]). This paper presents a review of the research works in Fudan University (FDU) during recent years on theoretical modeling of the terrain surface for polarimetric scattering simulation and Mueller matrix solution, mono-static and bistatic SAR image simulation, new parameters for unsupervised surface classification, DEM inversion, change detection from multi-temporal SAR images, and reconstructions of buildings from multi-aspect SAR images, etc. . Some applications are briefly reported.Corresponding author: Y.-Q. Jin (yqjin@fudan.ac.cn).

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Remote Sensing with Polarimetric Radar

Cited by 62 publications

References 0 publications

Egg quantity determination based on characteristic polarisation state

Egg quantity determination based on characteristic polarisation state

Polarisation basis transformation of weather radar measurements in the power domain

Polarimetric Scattering Modeling and Information Retrieval of Sar Remote Sensing --- A Review of Fdu Work

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