A Novel Vortex Synthetic Aperture Radar Imaging System: Decreasing the Pulse Repetition Frequency Without Increasing the Antenna Aperture

Shu, Gaofeng; Wang, Nan; Wang, Wentao; Deng, Yunkai; Zhang, Yong‐Wei; Zhang, Heng; Li, Ning; Wang, Robert

doi:10.1109/tgrs.2021.3053650

Cited by 8 publications

(4 citation statements)

References 33 publications

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“…S ynthetic Aperture Radar (SAR) is a versatile all-weather tool with high-resolution capabilities which uses active microwave sensors to measure electromagnetic fields scattered back from targets [1]. This technology has attracted significant attention for ship detection in marine remote sensing [2].…”

Section: Introductionmentioning

confidence: 99%

A New Method for Ship Detection in SAR Image Based on Finsler Information Geometry

Wang,

Yang,

Cheng

2024

PIER M

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This article introduces a novel ship detection method for Synthetic Aperture Radar (SAR) images that leverages the principles of Finsler information geometry. It employs the curvature features of a statistical manifold as a discriminative mechanism to diminish the impact of sea clutter and augment the contrast between a target and its background. The ambiguity of the local microstructure and statistical characteristics is partially resolved by using information theory to select metric definitions and curvature representation of non-European space. This method models sea clutter using the Gamma Distribution Function (GDF), transforming the detection challenge into an anomaly detection framework within the GDF space. This approach establishes a theoretical detection framework rooted in Finsler information geometry by integrating statistical modeling with Finsler geometry. It harnesses the Finsler characteristics of GDF space to extract the curvature feature representations for each GDF. Detection is achieved by applying one-class support vector machines (SVMs) to a matrix of curvature values derived from these representations. The detection algorithm unfolds in two primary phases. Initially, it utilizes a family of probability distributions to capture geometrical information. Subsequently, curved features are employed for target detection. Through rigorous experimentation with real datasets, the method demonstrates enhanced resilience to sea clutter and outperforms existing techniques for analyzing distribution families, validating its effectiveness and robustness.

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Section: Introductionmentioning

confidence: 99%

A New Method for Ship Detection in SAR Image Based on Finsler Information Geometry

Wang,

Yang,

Cheng

2024

PIER M

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“…Different from the conventional plane electromagnetic wave, by modulating the orbital angular momentum (OAM), a vortex electromagnetic wave (VEW) provides special characteristics, such as circular beam pattern [1], rotational phase front [2], and orthogonality of OAM modes [3]. In the past decade, due to these special characteristics, VEW has been widely involved in areas such as wireless communication [4][5][6], remote sensing [7][8][9][10][11][12][13][14][15][16][17], and topographical altimetry [13].…”

Section: Introductionmentioning

confidence: 99%

“…The imaging results showed that VEW-SAR provides higher azimuth resolution than SAR using plane waves. The chirp-scaling (CS) and Range-Doppler SAR imaging algorithms fitting VEW-SAR were proposed in [10][11][12]. Using multiple OAM modes, InSAR reconstructs the three-dimensional target information without the requirement of the physical baseline [13].…”

Section: Introductionmentioning

confidence: 99%

Targets’ Radial and Tangential Velocities Estimation Based on Vortex Electromagnetic Waves

You

et al. 2022

Remote Sensing

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The orbital angular momentum (OAM) of a vortex electromagnetic wave (VEW) has gained attention as a newly explored information carrier. OAM modes provide vortex azimuth resolution, which is a new degree of freedom (DOF) in radar application. Due to the special characteristics of the vortex azimuth domain, VEW shares compound Doppler information of two-dimensional (2D) speed. This paper proposes a 2D target velocity estimation method for VEW radar. The Doppler effect of VEW is first analyzed. Based on the relativity of tangential speed and OAM mode, a pulse-by-pulse OAM mode-changing strategy is designed. Then, a modified Radon–Fourier transformation (RFT) is proposed to estimate the compound Doppler frequency while range migration is compensated. In addition, decoupling and ambiguity-solving procedures are applied to the compound Doppler frequency estimation to obtain tangential and radial speed estimations separately. According to the simulation analyses, the effectiveness of the proposed method is verified.

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“…It breaks the boundary of Radar camera mode in the past and improves the camera ability of the observation area. Compared with other remote sensing imaging systems, the number of synthetic apertures has increased [2]. e Radar imaging system cannot be affected by light and bad weather and can take necessary ground scenes in one day and in all weather conditions.…”

Section: Introductionmentioning

confidence: 99%

A Gaussian Process Classification and Target Recognition Algorithm for SAR Images

Yang

Zhang

2022

Scientific Programming

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Synthetic aperture Radar (SAR) uses the relative movement of the Radar and the target to pick up echoes of the detected area and image it. In contrast to optical imaging, SAR imaging systems are not affected by weather and time and can detect targets in harsh conditions. Therefore, the SAR image has important application value in military and civilian purposes. This paper introduces the classification of Gaussian process. Gaussian process classification is a probabilistic classification algorithm based on Bass frame. This is a complete probability expression. Based on Gaussian process and SAR data, Gaussian process classification algorithm for SAR images is studied in this paper. In this paper, we introduce the basic principle of Gaussian process, briefly analyze the basic theory of classification and the characteristics of SAR images, provide the evaluation index system of image classification, and give the SAR classification model of Gaussian process. Taking Laplace approximation as an example, several classification algorithms are introduced directly. Based on the two classifications, we propose an indirect multipurpose classification method and a multifunction classification method for two-pair two-Gaussian processes. The SAR image algorithm based on the two categories is relatively simple and achieves certain results.

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A Novel Vortex Synthetic Aperture Radar Imaging System: Decreasing the Pulse Repetition Frequency Without Increasing the Antenna Aperture

Cited by 8 publications

References 33 publications

A New Method for Ship Detection in SAR Image Based on Finsler Information Geometry

A New Method for Ship Detection in SAR Image Based on Finsler Information Geometry

Targets’ Radial and Tangential Velocities Estimation Based on Vortex Electromagnetic Waves

A Gaussian Process Classification and Target Recognition Algorithm for SAR Images

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