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3,361 Results Found

  • Article
  • Open Access
1 Citations
3,369 Views
16 Pages

25 December 2021

The blind pixel suppression is the key preprocess to guarantee the real-time space-based infrared point target (IRPT) detection and tracking. Meanwhile, flickering pixels, as one of the blind pixels, is hard to suppress because of randomness. At pres...

  • Article
  • Open Access
4 Citations
3,159 Views
22 Pages

9 September 2020

Pedestrian detection is an important task in many intelligent systems, particularly driver assistance systems. Recent studies on pedestrian detection in infrared (IR) imagery have employed data-driven approaches. However, two problems in deep learnin...

  • Article
  • Open Access
1,576 Views
20 Pages

A Novel ISAR Image Feature Suppression Method Based on Arbitrary Phase Encoding

  • Yanfeng Wang,
  • Qihua Wu,
  • Xiaobin Liu,
  • Zhiming Xu,
  • Feng Zhao and
  • Shunping Xiao

24 October 2024

Compared with the amplitude modulation of conventional interrupted sampling repeater jamming (ISRJ), the image feature control method based on phase modulation exhibits greater energy efficiency and, therefore, has received wide attention recently. I...

  • Article
  • Open Access
37 Citations
5,448 Views
18 Pages

5 May 2019

Aiming at the problem of insufficient representation ability of weak and small objects and overlapping detection boxes in airplane object detection, an effective airplane detection method in remote sensing images based on multilayer feature fusion an...

  • Article
  • Open Access
555 Views
15 Pages

An Intelligent Suppression Method for Interference Pulses in Partial Discharge Detection of Transformers Based on Waveform Feature Recognition

  • Shaoyu Chen,
  • Ziyue Xu,
  • Zekai Lai,
  • Zhulu Wang,
  • Hongli Wang,
  • Xinjian Wu,
  • Ran Yao,
  • Weidong Xie and
  • Haibao Mu

10 November 2025

High-frequency current detection of partial discharge (PD) at transformers on-site faces complex noise interference, which severely impacts the accuracy of PD detection. To address this issue, an intelligent interference suppression algorithm for PD...

  • Article
  • Open Access
5 Citations
1,971 Views
22 Pages

10 July 2024

Synthetic-aperture radar (SAR) can work in all weather conditions and at all times, and satellite-borne radar has the characteristics of short revisiting period and large imaging width. Therefore, satellite-borne synthetic-aperture radar has been wid...

  • Article
  • Open Access
6 Citations
4,253 Views
18 Pages

24 December 2021

Passive radars based on long-term evolution (LTE) signals suffer from sever interferences. The interferences are not only from the base station used as the illuminator of opportunity (BS-IoO), but also from the other co-channel base stations (CCBS) w...

  • Article
  • Open Access
2 Citations
2,445 Views
21 Pages

18 June 2023

The new mode of Circular Synthetic Aperture Radar (CSAR) has several advantages including multi-aspect and long-time observation, which can generate high-frame-rate image sequences to detect moving targets with a single-channel system. Nonetheless, d...

  • Article
  • Open Access

Traceable Suppression of Vehicle-Induced Dust in Industrial Sheds Through Dynamic–Static Feature Enhancement

  • Kun Chen,
  • Xujie Zhang,
  • Yan Shao,
  • Hang Xiao,
  • Di Zheng,
  • Zijie Jiang and
  • Siwei Lou

17 March 2026

Existing intelligent monitoring methods are limited by insufficient training samples and target-feature degradation in complex environments. To address these issues, an industrial visual inspection scheme with dual verification is proposed for materi...

  • Article
  • Open Access
5 Citations
2,633 Views
20 Pages

8 December 2022

Errors that occur when surface topography is measured and analysed can be classified depending on the type of surface studied. Many types of surface topographies are considered when frequency-based errors are studied. However, turned surface topograp...

  • Article
  • Open Access
13 Citations
3,434 Views
18 Pages

14 December 2022

Spaceborne synthetic aperture radar (SAR) is a promising remote sensing technique, as it can produce high-resolution imagery over a wide area of surveillance with all-weather and all-day capabilities. However, the spaceborne SAR sensor may suffer fro...

  • Article
  • Open Access
4 Citations
1,461 Views
19 Pages

22 February 2025

Water extraction from Synthetic Aperture Radar (SAR) images is crucial for water resource management and maintaining the sustainability of ecosystems. Though great progress has been achieved, there are still some challenges, such as an insufficient a...

  • Article
  • Open Access
1 Citations
2,606 Views
22 Pages

29 June 2025

With the rapid advancement of deepfake technology, the detection of low-quality synthetic facial images has become increasingly challenging, particularly in cases involving low resolution, blurriness, or noise. Traditional detection methods often exh...

  • Article
  • Open Access
2 Citations
1,385 Views
16 Pages

2 December 2024

Detecting maritime ship targets in complex aerial images is significantly challenging due to the relatively small size of the ship compared to the image’s predominant background. Current methodologies used to identify maritime targets in aerial...

  • Article
  • Open Access
2 Citations
2,163 Views
20 Pages

1 August 2022

This paper presents a passive bistatic radar (PBR) configuration using a global navigation satellite system as an illuminator of opportunity for the rotor blade feature extraction of a helicopter. Aiming at the strong fixed clutter in the surveillanc...

  • Article
  • Open Access
3 Citations
1,496 Views
20 Pages

16 May 2025

Synthetic aperture radar (SAR) is characterized by its all-weather monitoring capabilities and high-resolution imaging. It plays a crucial role in operations such as marine salvage and strategic deployments. However, existing vessel detection technol...

  • Article
  • Open Access
1,924 Views
18 Pages

The self-interference of an unmanned underwater vehicle (UUV) weakens its ability to detect targets of interest. Due to limitations in the size of the sonar array and the complexity of the interference, the performance of existing self-interference s...

  • Article
  • Open Access
951 Views
27 Pages

Pre-Dog-Leg: A Feature Optimization Method for Visual Inertial SLAM Based on Adaptive Preconditions

  • Junyang Zhao,
  • Shenhua Lv,
  • Huixin Zhu,
  • Yaru Li,
  • Han Yu,
  • Yutie Wang and
  • Kefan Zhang

4 October 2025

To address the ill-posedness of the Hessian matrix in monocular visual-inertial SLAM (Simultaneous Localization and Mapping) caused by unobservable depth of feature points, which leads to convergence difficulties and reduced robustness, this paper pr...

  • Article
  • Open Access
31 Citations
4,000 Views
28 Pages

22 July 2021

In this paper, the influence of occurrence of surface texture features on the values of surface topography parameters calculated after the application of various data processing techniques was presented. Different types of surface topographies were c...

  • Article
  • Open Access
2 Citations
3,172 Views
13 Pages

12 January 2022

Edge detection is one of the fundamental computer vision tasks. Recent methods for edge detection based on a convolutional neural network (CNN) typically employ the weighted cross-entropy loss. Their predicted results being thick and needing post-pro...

  • Article
  • Open Access
1 Citations
882 Views
23 Pages

A Spectral Mode Reconstruction Method for Floating Target Detection Under Strong Sea Clutter Conditions

  • Ningbo Liu,
  • Hankun Yang,
  • Guoqing Wang,
  • Hao Ding,
  • Yunlong Dong and
  • Wei Xue

11 September 2025

In strong sea clutter conditions, floating target echo signals are easily overwhelmed. Conventional mode decomposition and reconstruction methods struggle to reliably identify and select the modes that actually contain the target components. This pap...

  • Article
  • Open Access
1 Citations
1,699 Views
20 Pages

YOLO-SSFA: A Lightweight Real-Time Infrared Detection Method for Small Targets

  • Yuchi Wang,
  • Minghua Cao,
  • Qing Yang,
  • Yue Zhang and
  • Zexuan Wang

20 July 2025

Infrared small target detection is crucial for military surveillance and autonomous driving. However, complex scenes and weak signal characteristics make the identification of such targets particularly difficult. This study proposes YOLO-SSFA, an enh...

  • Article
  • Open Access
7 Citations
2,851 Views
18 Pages

22 May 2023

To address the issue of low accuracy in insulator object detection within power systems due to a scarcity of image sample data, this paper proposes a method for identifying insulator objects based on improved few-shot object detection through feature...

  • Technical Note
  • Open Access
1 Citations
2,403 Views
14 Pages

29 December 2023

The extraction of the micro-Doppler (m-D) feature based on time-frequency distribution (TFD) is of great significance for target detection and identification. To improve the feature extraction performance, numerous TFDs have been developed, with the...

  • Article
  • Open Access
5 Citations
4,046 Views
17 Pages

Research on the Agricultural Pest Identification Mechanism Based on an Intelligent Algorithm

  • Qixun Xiao,
  • Wenying Zheng,
  • Yifan He,
  • Zijie Chen,
  • Fanxin Meng and
  • Liyan Wu

26 September 2023

The use of Internet of Things (IoT) technology for real-time monitoring of agricultural pests is an unavoidable trend in the future of intelligent agriculture. This paper aims to address the difficulties in deploying models at the edge of the pest mo...

  • Article
  • Open Access
1,861 Views
16 Pages

A YOLO-Based Multi-Scale and Small Object Detection Framework for Low-Altitude UAVs in Cluttered Scenes

  • Zhi Yang,
  • Rijun Wang,
  • Wenjin Chen,
  • Keer Du,
  • Zhigong Huang and
  • Yu Huang

12 September 2025

Low-altitude UAVs pose increasing security concerns due to their small sizes, high mobility, and low observability. Detecting such targets in cluttered environments remains challenging due to strong background interference and significant scale varia...

  • Article
  • Open Access
2 Citations
1,521 Views
29 Pages

The accurate detection and localization of polyps during endoscopic examinations are critical for early disease diagnosis and cancer prevention. However, the presence of artifacts and noise, along with the high similarity between polyps and surroundi...

  • Article
  • Open Access
6 Citations
3,730 Views
31 Pages

30 August 2019

Feature/band selection (FS/BS) for target detection (TD) attempts to select features/bands that increase the discrimination between the target and the image background. Moreover, TD usually suffers from background interference. Therefore, bands that...

  • Article
  • Open Access
3 Citations
2,904 Views
20 Pages

Multidirectional Attention Fusion Network for SAR Change Detection

  • Lingling Li,
  • Qiong Liu,
  • Guojin Cao,
  • Licheng Jiao,
  • Fang Liu,
  • Xu Liu and
  • Puhua Chen

26 September 2024

Synthetic Aperture Radar (SAR) imaging is essential for monitoring geomorphic changes, urban transformations, and natural disasters. However, the inherent complexities of SAR, particularly pronounced speckle noise, often lead to numerous false detect...

  • Review
  • Open Access
17 Citations
4,711 Views
32 Pages

Research Progress on Identification and Suppression Methods for Monitoring the Cavitation State of Centrifugal Pumps

  • Yu Zhu,
  • Lin Zhou,
  • Shuaishuai Lv,
  • Weidong Shi,
  • Hongjun Ni,
  • Xiaoyuan Li,
  • Chuanzhen Tao and
  • Zhengjie Hou

22 December 2023

Cavitation is a detrimental phenomenon in hydraulic machinery, adversely impacting its performance, inducing vibration and noise, and leading to corrosion damage of overflow components. Centrifugal pump internal cavitation will lead to severe vibrati...

  • Article
  • Open Access
1 Citations
1,637 Views
21 Pages

Sea Clutter Suppression Method Based on Correlation Features

  • Zhen Li,
  • Huafeng He,
  • Liyuan Wang,
  • Tao Zhou,
  • Yizhe Sun and
  • Yaomin He

Radar target detection in a sea clutter environment is of significant importance in both civilian and military applications, with the detection of small maneuvering targets being particularly challenging. To address this issue, this paper introduces...

  • Article
  • Open Access
7 Citations
3,180 Views
16 Pages

31 July 2021

Channel state information (CSI) provides a fine-grained description of the signal propagation process, which has attracted extensive attention in the field of indoor positioning. However, considering the influence of environment and hardware, the pha...

  • Feature Paper
  • Article
  • Open Access
25 Citations
3,377 Views
24 Pages

12 January 2021

Studies on the effect of surface texture on cylinder liner wear is of great importance in many research areas due to the fact that a major part of the mechanical power losses in an engine are caused by friction in the piston-cylinder liner system. In...

  • Article
  • Open Access
3 Citations
1,733 Views
19 Pages

Features of the Application of Coherent Noise Suppression Methods in the Digital Holography of Particles

  • Victor Dyomin,
  • Alexandra Davydova,
  • Nikolay Kirillov and
  • Igor Polovtsev

27 July 2023

The paper studies the influence of coherent noises on the quality of images of particles reconstructed from digital holograms. Standard indicators (for example, signal-to-noise ratio) and such indicators as the boundary contrast and boundary intensit...

  • Article
  • Open Access
815 Views
19 Pages

5 July 2025

Blasting-induced seismic waves are typically nonlinear and non-stationary signals. The EMD-Hilbert transform is commonly used for time–frequency analysis of such signals. However, during the empirical mode decomposition (EMD) processing of blas...

  • Article
  • Open Access
9 Citations
2,945 Views
16 Pages

27 April 2020

It is commonly known that for characteristics, such as long-distance, high-sensitivity, and full-scale monitoring, phase-sensitive optical time-domain reflectometry (Φ-OTDR) has developed rapidly in many fields, especially with the arrival of 5G....

  • Article
  • Open Access
68 Citations
10,913 Views
31 Pages

Effect of Long-Term Farming Practices on Agricultural Soil Microbiome Members Represented by Metagenomically Assembled Genomes (MAGs) and Their Predicted Plant-Beneficial Genes

  • Johanna Nelkner,
  • Christian Henke,
  • Timo Wentong Lin,
  • Wiebke Pätzold,
  • Julia Hassa,
  • Sebastian Jaenicke,
  • Rita Grosch,
  • Alfred Pühler,
  • Alexander Sczyrba and
  • Andreas Schlüter

3 June 2019

To follow the hypothesis that agricultural management practices affect structure and function of the soil microbiome regarding soil health and plant-beneficial traits, high-throughput (HT) metagenome analyses were performed on Chernozem soil samples...

  • Article
  • Open Access
1,111 Views
21 Pages

15 August 2025

In hyperspectral image (HSI) classification, feature learning and label accuracy play a crucial role. In actual hyperspectral scenes, however, noisy labels are unavoidable and seriously impact the performance of methods. While deep learning has achie...

  • Article
  • Open Access
4 Citations
3,597 Views
23 Pages

A YOLO-Based Method for Head Detection in Complex Scenes

  • Ming Xie,
  • Xiaobing Yang,
  • Boxu Li and
  • Yingjie Fan

19 November 2024

Detecting objects in intricate scenes has always presented a significant challenge in the field of machine vision. Complex scenes typically refer to situations in images or videos where there are numerous densely distributed and mutually occluded obj...

  • Article
  • Open Access
8 Citations
4,671 Views
18 Pages

Robust Multi-Modal Image Registration for Image Fusion Enhancement in Infrastructure Inspection

  • Sara Shahsavarani,
  • Fernando Lopez,
  • Clemente Ibarra-Castanedo and
  • Xavier P. V. Maldague

20 June 2024

Efficient multi-modal image fusion plays an important role in the non-destructive evaluation (NDE) of infrastructures, where an essential challenge is the precise visualizing of defects. While automatic defect detection represents a significant advan...

  • Article
  • Open Access
9 Citations
4,359 Views
27 Pages

15 September 2019

Displacement signals, acquired by eddy current sensors, are extensively used in condition monitoring and health prognosis of electromechanical equipment. Owing to its sensitivity to low frequency components, the displacement signal often contains sin...

  • Article
  • Open Access
3 Citations
3,534 Views
23 Pages

28 June 2021

Brachial plexus root avulsions cause debilitating upper limb paralysis. Short-term neuroprotective treatments have reported preservation of motor neurons and function in model animals while reports of long-term benefits of such treatments are scarce,...

  • Article
  • Open Access
5 Citations
3,019 Views
17 Pages

Interclass Interference Suppression in Multi-Class Problems

  • Jinfu Liu,
  • Mingliang Bai,
  • Na Jiang,
  • Ran Cheng,
  • Xianling Li,
  • Yifang Wang and
  • Daren Yu

5 January 2021

Multi-classifiers are widely applied in many practical problems. But the features that can significantly discriminate a certain class from others are often deleted in the feature selection process of multi-classifiers, which seriously decreases the g...

  • Article
  • Open Access
5 Citations
2,548 Views
17 Pages

3 September 2023

The advancements in ship detection technology using convolutional neural networks (CNNs) regarding synthetic aperture radar (SAR) images have been significant. Yet, there are still some limitations in the existing detection algorithms. First, the bac...

  • Article
  • Open Access
18 Citations
3,586 Views
20 Pages

BSC-Net: Background Suppression Algorithm for Stray Lights in Star Images

  • Yabo Li,
  • Zhaodong Niu,
  • Quan Sun,
  • Huaitie Xiao and
  • Hui Li

28 September 2022

Most background suppression algorithms are weakly robust due to the complexity and fluctuation of the star image’s background. In this paper, a background suppression algorithm for stray lights in star images is proposed, which is named BSC-Net...

  • Article
  • Open Access
2,411 Views
22 Pages

Monopulse Parameter Estimation for FDA-MIMO Radar under Mainlobe Deception Jamming

  • Hao Chen,
  • Rongfeng Li,
  • Hui Chen,
  • Qizhe Qu,
  • Bilei Zhou,
  • Binbin Li and
  • Yongliang Wang

9 August 2023

Multiple input multiple output with frequency diversity array (FDA-MIMO) radar has unique advantages in mainlobe deception jamming suppression and target location. However, if the training sample contains the target signal, it will lead to poor jammi...

  • Article
  • Open Access
349 Views
17 Pages

27 November 2025

Deep learning-based synthetic aperture radar (SAR) target recognition often suffers from overfitting under few-shot conditions, making it difficult to fully exploit the discriminative features contained in limited samples. Moreover, SAR targets frequ...

  • Article
  • Open Access
802 Views
20 Pages

Investigating the Impact of Aerial Firefighting on Rate of Wildfire Spread

  • Lindsay Wiard-Greene,
  • Jesse Johnson,
  • John Hogland,
  • Fredrick Bunt and
  • Jake Bova

19 December 2025

Aerial retardant drops are widely used in wildfire suppression, yet their effectiveness in slowing fire spread remains difficult to quantify at scale. This study evaluates their impact on wildfire rate of spread (ROS) using a framework that combines...

  • Article
  • Open Access
2,943 Views
17 Pages

13 November 2020

In this paper, we propose a multi-channel cross-tower with attention mechanisms in latent domain network (Multi-TALK) that suppresses both the acoustic echo and background noise. The proposed approach consists of the cross-tower network, a parallel e...

  • Article
  • Open Access
22 Citations
4,962 Views
24 Pages

Domiciliation of Trichoderma asperellum Suppresses Globiosporangium ultimum and Promotes Pea Growth, Ultrastructure, and Metabolic Features

  • Zeiad Moussa,
  • Yasmene F. Alanazi,
  • Aiah Mustafa Khateb,
  • Noha M. Eldadamony,
  • Marwa M. Ismail,
  • WesamEldin I. A. Saber and
  • Doaa Bahaa Eldin Darwish

The beneficial microorganisms represent a new and hopeful solution for a sustainable environment and development. In this investigation, Trichoderma asperellum ZNW, isolated from seeds, was domiciliated within the pea plant for improving growth, dise...

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