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Keywords = subfield traversal order

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22 pages, 8264 KB  
Article
Ray-Tracing-Assisted SAR Image Simulation under Range Doppler Imaging Geometry
by Junjie Li, Gaohao Zhu, Chen Hou, Wenya Zhang, Kang Du, Chuanxiang Cheng and Ke Wu
Electronics 2024, 13(18), 3591; https://doi.org/10.3390/electronics13183591 - 10 Sep 2024
Viewed by 1736
Abstract
In order to achieve an effective balance between SAR image simulation fidelity and efficiency, we proposed a ray-tracing-assisted SAR image simulation method under range doppler (RD) imaging geometry. This method utilizes the spatial traversal mode of RD imaging geometry to transmit discrete electromagnetic [...] Read more.
In order to achieve an effective balance between SAR image simulation fidelity and efficiency, we proposed a ray-tracing-assisted SAR image simulation method under range doppler (RD) imaging geometry. This method utilizes the spatial traversal mode of RD imaging geometry to transmit discrete electromagnetic (EM) waves into the SAR radiation area and follows the Nyquist sampling law to set the density of transmitted EM waves to effectively identify the beam radiation area. The ray-tracing algorithm is used to obtain the backscatter amplitude and real-time slant range of the transmitted EM wave, which can effectively record the multiple backscattering among the components of the distributed target so that the backscattering subfields of each component can be correlated. According to the RD condition equation, the backscattering amplitude is assigned to the corresponding range gate, and the three-dimensional (3D) target is mapped into the two-dimensional (2D) SAR slant-range coordinate system, and the SAR target simulated image is directly obtained. Finally, the simulation images of the proposed method are compared qualitatively and quantitatively with those obtained by commercial simulation software, and the effectiveness of the proposed method is verified. Full article
(This article belongs to the Special Issue SAR Image and Signal Processing)
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25 pages, 9200 KB  
Article
Bounding Volume Hierarchy-Assisted Fast SAR Image Simulation Based on Spatial Segmentation
by Ke Wu, Guowang Jin, Xin Xiong and Quanjie Shi
Appl. Sci. 2024, 14(8), 3340; https://doi.org/10.3390/app14083340 - 16 Apr 2024
Cited by 2 | Viewed by 1889
Abstract
In order to improve the simulation efficiency under the premise of ensuring the fidelity of synthetic aperture radar (SAR) simulation images, we propose a BVH-assisted fast SAR image simulation method based on spatial segmentation. The beam scanning model is established based on RD [...] Read more.
In order to improve the simulation efficiency under the premise of ensuring the fidelity of synthetic aperture radar (SAR) simulation images, we propose a BVH-assisted fast SAR image simulation method based on spatial segmentation. The beam scanning model is established based on RD imaging geometric relation, and the bounding volume hierarchy (BVH) algorithm is used to assist in obtaining the time-varying latticed radiation and shadow areas within the radar beam, combining them with the real-time position of the sensors to complete the simulation of the electromagnetic (EM) wave transmission. The ray tracing algorithm is used to calculate the multiple backscatter fields of EM waves, including various material properties of the target surface. The SAR spatial traversal is adopted to spatially segment the latticed radiation area, and the compute unified device architecture (CUDA) kernel function is designed using the echo matrix cell method to make each cell of the target echo matrix as a subfield of the backscattering field, and the position of the echo matrix cell is traversed to obtain the target backscattering field. The target simulated echo is processed by the range Doppler (RD) imaging algorithm to obtain the SAR-simulated image. The simulation results show that compared with a CPU single-thread simulation, the simulation speed of the proposed method is significantly improved, and the SAR simulation image has high structural similarity with the real image, which fully verifies the effectiveness of the proposed method. Full article
(This article belongs to the Special Issue Advances in Radar Imaging and Signal Processing)
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16 pages, 7121 KB  
Article
Optimal Path Generation with Obstacle Avoidance and Subfield Connection for an Autonomous Tractor
by Tyler Parsons, Fattah Hanafi Sheikhha, Omid Ahmadi Khiyavi, Jaho Seo, Wongun Kim and Sangdae Lee
Agriculture 2023, 13(1), 56; https://doi.org/10.3390/agriculture13010056 - 24 Dec 2022
Cited by 7 | Viewed by 3530
Abstract
As autonomous tractors become more common crop harvesting applications, the need to optimize the global servicing path becomes crucial for maximizing efficiency and crop yield. In recent years, several methods of path generation have been researched, but very few have studied their applications [...] Read more.
As autonomous tractors become more common crop harvesting applications, the need to optimize the global servicing path becomes crucial for maximizing efficiency and crop yield. In recent years, several methods of path generation have been researched, but very few have studied their applications on complex field shapes. In this study, a method of creating the optimal servicing path for simple and complex field shapes is proposed. The proposed algorithm creates subfields for a target land, optimizes the track direction for several subfields individually, merges subfields that result in overall increased efficiency, and finds the minimum non-operating paths to travel from subfield to subfield while selecting the respective optimal subfield starting locations. Additionally, it is required that this process must be done within 3 seconds to meet performance requirements. Results from 3 separate field shapes show that the field traversal efficiency can range from 68.0% to 94.4%, and the coverage ratio can range from 98.8% to 99.9% for several different conditions. In comparison with previous studies using the same field shape, the proposed methods demonstrate an increase of 5.5% in field traversal efficiency. Full article
(This article belongs to the Section Agricultural Technology)
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