Statistical Analysis for Performance of Detection and Imaging of Dynamic Targets Using the Geostationary Interferometric Microwave Sounder

Zhang, Ying; Liu, Hao; Wu, Ji; He, Jianhua; Cheng, Zhang

doi:10.1109/jstars.2017.2751521

Cited by 7 publications

(6 citation statements)

References 13 publications

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“…and a series of amplitude biases α A and its corresponding image errors T can be gathered to estimate the theoretical slope more precisely by a linear regression fit. Table I summarizes the slopes regressed from the amplitude calibration results and their theoretical values estimated by (21). A great consistency between the Monte-Carlo simulation results and the theoretical values can be found, which demonstrates that the relationship presented in ( 20) is also valid for IPPFFT.…”

Section: B Validationsupporting

confidence: 53%

“…where α A is the estimated amplitude calibration bias, and s is the slope we obtained by (21) for the specific array configuration. Note that the measurement of the zero-baseline visibility also has an error term V0 = V 0 + ∆V 0 , and this error term can be canceled out if two regions with a priori brightness temperatures are provided.…”

Section: Correction Of the Image Reconstruction Biasmentioning

confidence: 99%

“…The assumptions and the 300-K flat Earth disk configured in Section II are designed to provide an intuitive sense of the proposed calibration performance, and especially facilitate the evaluation of image reconstruction errors. The brightness temperature from a geostationary orbit at 50.3 GHz is modeled by the dedicated simulation system [21] to validate the proposed calibration strategy in a more realistic way.…”

Section: Extension To a Realistic Observation Scenementioning

confidence: 99%

See 2 more Smart Citations

Phase and Amplitude Calibration of Rotating Equispaced Circular Array for Geostationary Microwave Interferometric Radiometers—Simulation Results and Discussion

Guo

Camps

Park

et al. 2022

IEEE Trans. Geosci. Remote Sensing

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In the theoretical part of this work, a calibration strategy for both phase and amplitude calibration of rotating equispaced circular array based on redundant space calibration was introduced. It avoids the challenging implementation of conventional noise-injection network, especially for a large-scale array, by using the strong self-consistency accomplished by array rotation. This study presents comprehensive simulation results of the proposed calibration strategy, where calibration residuals and image reconstruction errors are evaluated. The phase calibration shows outstanding performance, while the amplitude calibration is found to be biased due to the logarithms used to linearize the system of calibration equations, and the resulting image reconstruction bias is scene-dependent. A bias correction method is proposed accordingly, which requires an a priori regional brightness temperature within the observation scene. The performance of both phase and amplitude calibration take advantage of increasing the number of elements, which promises the system scalability for high spatial resolution applications.

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Section: B Validationsupporting

confidence: 53%

Section: Correction Of the Image Reconstruction Biasmentioning

confidence: 99%

Section: Extension To a Realistic Observation Scenementioning

confidence: 99%

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Phase and Amplitude Calibration of Rotating Equispaced Circular Array for Geostationary Microwave Interferometric Radiometers—Simulation Results and Discussion

Guo

Camps

Park

et al. 2022

IEEE Trans. Geosci. Remote Sensing

Self Cite

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“…However, non-uniform sampling synthetic aperture radiometer (IASR) will face the problems of a complex image reconstruction algorithm and poor inversion accuracy in application. The G-matrix reconstruction method and FFT method are often applied to a regular antenna array synthetic aperture radiometer, while a non-uniform sampling synthetic aperture radiometer is difficult to adopt using the above method [3,4]. The reasons are as follows:…”

Section: Introductionmentioning

confidence: 99%

Non-Uniform Synthetic Aperture Radiometer Image Reconstruction Based on Deep Convolutional Neural Network

et al. 2022

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When observing the Earth from space, the synthetic aperture radiometer antenna array is sometimes set as a non-uniform array. In non-uniform synthetic aperture radiometer image reconstruction, the existing brightness temperature image reconstruction methods include the grid method and array factor forming (AFF) method. However, when using traditional methods for imaging, errors are usually introduced or some prior information is required. In this article, we propose a new IASR imaging method with deep convolution neural network (CNN). The frequency domain information is extracted through multiple convolutional layers, global pooling layers, and fully connected layers to achieve non-uniform synthetic aperture radiometer imaging. Through extensive numerical experiments, we demonstrate the performance of the proposed imaging method. Compared to traditional imaging methods such as the grid method and AFF method, the proposed method has advantages in image quality, computational efficiency, and noise suppression.

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“…As the advantages of the intelligent transportation system have been well known to the public, speeding up the improvement of the system has been included in the top priority of the current research in the field of transportation, and it has become the trend of this era [18]. But after all, the intelligent transportation system is a discipline created by the convergence of electronic information technology, Internet of ings technology, automatic control theory, communication technology, and traditional traffic engineering theory, which means that its establishment must rely on a wealth of theoretical foundations [19,20]. en, a lot of infrastructure construction is added to form a large-scale and comprehensive transportation system, so that it can give full play to its role [21].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Video Surveillance Technology in Intelligent Transportation

2020

Journal of Advanced Transportation

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Along with the strength of the country’s overall strength, the people’s pockets have become more and more popular, and there have been significant improvements in all aspects of life, especially in terms of travel methods. This reflects the increase in residents’ income, but it also brings huge traffic pressure. In the long run, traffic congestion is not only detrimental to urban development, but frequent traffic accidents threaten residents’ travel safety. Effective monitoring methods are essential to solving these problems, so it is necessary to carry out research on intelligent video monitoring technology in intelligent transportation. The purpose of this article is to solve the current situation of excessive traffic pressure in the city. Through the study of intelligent video surveillance technology in intelligent traffic, the use of constrained least squares algorithm to remove motion blur and apply Kalan filtering to the sharpening process is used to eliminate noise ambiguity and make a brief introduction to various classic moving target detection methods to realize real-time monitoring of intelligent traffic conditions and continuously adjust and verify the monitoring situation, and then establish intelligent video in intelligent traffic monitoring technology research system. The research results show that this kind of intelligent video surveillance technology research in intelligent transportation can effectively increase the awareness of intelligent video surveillance technology and improve the level of intelligent video surveillance technology. The data measurement time has been shortened by one hour, the aggregation time has been changed from three hours to two hours, and the analysis time has been shortened by half. Eased urban traffic road pressure and greatly reduced the incidence of traffic accidents, which is conducive to socialist harmony social construction.

show abstract

Statistical Analysis for Performance of Detection and Imaging of Dynamic Targets Using the Geostationary Interferometric Microwave Sounder

Cited by 7 publications

References 13 publications

Phase and Amplitude Calibration of Rotating Equispaced Circular Array for Geostationary Microwave Interferometric Radiometers—Simulation Results and Discussion

Phase and Amplitude Calibration of Rotating Equispaced Circular Array for Geostationary Microwave Interferometric Radiometers—Simulation Results and Discussion

Non-Uniform Synthetic Aperture Radiometer Image Reconstruction Based on Deep Convolutional Neural Network

Intelligent Video Surveillance Technology in Intelligent Transportation

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