Deep-learning-based extraction of the animal migration patterns from weather radar images

Cui, Kai; Hu, Cheng; Wang, Rui; Sui, Yi; Mao, Huafeng; Li, Huayu

doi:10.1007/s11432-019-2800-0

Cited by 27 publications

(18 citation statements)

References 22 publications

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“…Among novel solutions, machine learning approaches are becoming more popular [ 143 ]. Applying modern deep-learning algorithms enables the distinguishing of a tremendous amount of insect information in weather radar data [ 144 , 145 ]. Since a vast amount of weather radar data contaminated with biological echoes [ 128 , 146 ] is available, we can expect a very high trending interest in this topic in the future.…”

Section: Insect Radarmentioning

confidence: 99%

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A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques

Noskov

Bendix

Frieß

2021

Sensors

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Drastic declines in insect populations are a vital concern worldwide. Despite widespread insect monitoring, the significant gaps in the literature must be addressed. Future monitoring techniques must be systematic and global. Advanced technologies and computer solutions are needed. We provide here a review of relevant works to show the high potential for solving the aforementioned problems. Major historical and modern methods of insect monitoring are considered. All major radar solutions are carefully reviewed. Insect monitoring with radar is a well established technique, but it is still a fast-growing topic. The paper provides an updated classification of insect radar sets. Three main groups of insect radar solutions are distinguished: scanning, vertical-looking, and harmonic. Pulsed radar sets are utilized for all three groups, while frequency-modulated continuous-wave (FMCW) systems are applied only for vertical-looking and harmonic insect radar solutions. This work proves the high potential of radar entomology based on the growing research interest, along with the emerging novel setups, compact devices, and data processing approaches. The review exposes promising insect monitoring solutions using compact radar instruments. The proposed compact and resource-effective setups can be very beneficial for systematic insect monitoring.

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Section: Insect Radarmentioning

confidence: 99%

“…Pulsed scanning weather radar remains a mainstream technology for insect monitoring using previous decades’ achievements and created radar networks [ 20 , 103 , 107 , 129 , 144 , 147 , 148 , 149 ]. This radar type has become a well developed solution.…”

Section: Insect Radarmentioning

confidence: 99%

A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques

Noskov

Bendix

Frieß

2021

Sensors

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“…Radar is an important remote sensing tool that has been widely used for aerial target observation [3][4][5]. The ability of radar to detect high-flying insects without interfering with their flight makes it one of the most efficient tools for studying insect migration.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive analysis of polarimetric radar cross-section parameters for insect body width and length estimation

Kong

et al. 2021

Sci. China Inf. Sci.

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“…Effective target detection methods are essential to extract accurate motion parameters from radar returns for insect migration analysis. Valuable information can then be provided for biological insect research, including flight orientation, velocity, and species identification [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Fast Implementation of Insect Multi-Target Detection Based on Multimodal Optimization

et al. 2021

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Entomological radars are important for scientific research of insect migration and early warning of migratory pests. However, insects are hard to detect because of their tiny size and highly maneuvering trajectory. Generalized Radon–Fourier transform (GRFT) has been proposed for effective weak maneuvering target detection by long-time coherent detection via jointly motion parameter search, but the heavy computational burden makes it impractical in real signal processing. Particle swarm optimization (PSO) has been used to achieve GRFT detection by fast heuristic parameter search, but it suffers from obvious detection probability loss and is only suitable for single target detection. In this paper, we convert the realization of GRFT into a multimodal optimization problem for insect multi-target detection. A novel niching method without radius parameter is proposed to detect unevenly distributed insect targets. Species reset and boundary constraint strategy are used to improve the detection performance. Simulation analyses of detection performance and computational cost are given to prove the effectiveness of the proposed method. Furthermore, real observation data acquired from a Ku-band entomological radar is used to test this method. The results show that it has better performance on detected target amount and track continuity in insect multi-target detection.

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Deep-learning-based extraction of the animal migration patterns from weather radar images

Cited by 27 publications

References 22 publications

A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques

A Review of Insect Monitoring Approaches with Special Reference to Radar Techniques

Comprehensive analysis of polarimetric radar cross-section parameters for insect body width and length estimation

Fast Implementation of Insect Multi-Target Detection Based on Multimodal Optimization

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