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检索条件"机构=Tianjin Key Lab for Advanced Signal and Image Processing"

共 249 条记录，以下是21-30 订阅

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ESA-Net:A Network for Enhancing Small Target Detection Performance in SAR imagery Aircraft

ESA-Net:A Network for Enhancing Small Target Detection Perfo...

引用

IET International Radar Conference 2023, IRC 2023

作者： Han, Ping Zhao, Han Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (纸本)9781839539954

In synthetic aperture radar (SAR) image aircraft target detection, aircraft small targets have a lower AP than aircraft targets and large targets due to the small number of pixel points they occupy and background clutter interference. To solve this problem, this paper proposes a network for enhancing the performance of aircraft small target detection for SAR images(ESA-Net). The network is designed based on yolov5s with a backbone network BH-CSPDarknet and a detection head TFA-Head. BH-CSPDarknet allocates more computational resources in the shallow layer of the network to process high-resolution feature maps, which effectively extracts richer feature information of aircraft small targets. TFA-Head provides appropriate feature preferences for classification and localisation tasks to provide TFA-Head provides appropriate feature information for classification and positioning task feature preferences, which can effectively suppress the background clutter interference while enhancing the aircraft small target features. The experimental results using the SAR-ADRD dataset show that the method improves the average accuracy of YOLOv5s by 1.9% and the average accuracy of aircraft small targets by 15.6%. © The Institution of Engineering & Technology 2023.

关键词： Synthetic aperture radar

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Automatic Detection of Airport Runway Area Based on Super-Pixel PolSAR image Classification 5th

Automatic Detection of Airport Runway Area Based on Super-Pi...

引用

5th ENRI International Workshop on ATM/CNS, EIWAC 2017

作者： Han, Ping Lin, Zeshan Lu, Xiaoguang Shi, Qingyan Zhang, Zhe Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (纸本)9789811370854

This paper proposes an unsupervised algorithm for airport runway area detection based on super-pixel PolSAR image classification. First, the simple linear iterative clustering (SLIC) algorithm are used to obtain super-pixel image by segmenting the PauliRGB image in order to reduce computational complexity and save computing time. Then, VAT-DBE algorithm is used to estimate and obtain the number of clusters of the image automatically. Combing the polarization information, the super-pixel image is classified by the method of spectral clustering. After that, the suspected airport runway area is extracted according to the scattering characteristics of the runway and classification result. Finally, the airport runway area is detected by using structural and topological characteristics of the runways. The experimental results show that the proposed algorithm can detect the airport runway area effectively with a clear outline, complete structure, and low false alarm rate. It also needs less time and a priori information compared with other methods. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Iterative methods

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DACNet: Single image Dehazing Network Based on Attention Mechanism 3

DACNet: Single Image Dehazing Network Based on Attention Mec...

引用

3rd International Conference on Intelligent Communications and Computing, ICC 2023

作者： Liu, Yongling Han, Ping Wang, Wanwei Civil Aviation University of China Tianjin Key Lab for Advanced Signal Processing Tianjin China

ISBN: (纸本)9798350308327

Aiming at the problem that atmospheric scattering model-based haze removal methods are prone to degradation of haze removal performance due to inaccurate parameter estimation, a single-image haze removal network based on the attention mechanism is proposed for direct restoration of haze-free images. The network consists of encoder and decoder, where the traditional convolution is replaced by combining dilated convolutions with different dilated rates for acquiring and processing haze-related image features. Due to the different weighted information contained in different channel features, an increased attention mechanism is used to enhance the feature representation of important channels through adaptive learning channel features, thereby enabling the encoder to pay more attention to channel information in the haze region. In the encoding and decoding structure, dilated convolution and attention mechanism are used in combination for image dehazing for the first time. By targeting the network to pay attention to the regions with high fog distribution while increasing the sensory field to obtain global information. The method presented in this paper improves the ability of network to process hazy images and brings a new breakthrough in the field of hazy image processing. Experiments show that the algorithm proposed in this paper achieves significant improvements in both subjective and objective indicators comparing with many state-of-the-art methods. © 2023 IEEE.

关键词： image enhancement

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Infrared Small Target Detection Algorithm Based on Improved DeeplabV3+ 8

Infrared Small Target Detection Algorithm Based on Improved ...

引用

8th International Conference on Intelligent Computing and signal processing, ICSP 2023

作者： Qi, Mengfei Jia, Guimin Civil Aviation University of China Tianjin Key Lab for Advanced Signal Processing Tianjin China

ISBN: (纸本)9798350302455

Infrared small target detection aims to segment small targets from the infrared images. Aiming at the problem of infrared small target detection, an improved algorithm is proposed based on DeeplabV3+ network. For the encoding part of DeeplabV3+, considering the small size of infrared small targets, the dilation rate of ASPP module is adjusted to capture the features of small targets more effectively. For the small targets are prone to lose spatial information during feature extraction, a location enhancement module is introduced to supplement accurate location information and to improve the accuracy of detection. In order to preserve detail information, an additional feature map is added from the backbone network to fuse detail information and semantic information for the decoding part of DeeplabV3+. Experimental results have demonstrated that the proposed algorithm is capable of enhancing the detection performance of DeeplabV3+ network in the infrared small target detection task. © 2023 IEEE.

关键词： Feature extraction

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A Three-Layer Parallel Implementation of the DPE Receiver Based on GPU 14th

A Three-Layer Parallel Implementation of the DPE Receiver Ba...

引用

14th China Satellite Navigation Conference, CSNC 2024

作者： Jia, Qiongqiong Li, Weipeng Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (纸本)9789819969319

The Popular of Global Navigation Satellite System (GNSS) is attributed to its good performance. However, the performance of a conventional GNSS receiver is severely degraded or even failed to provide services in complex environments. Direct Position Estimation (DPE) combines all the visible satellite signals for energy accumulation in the navigation domain first, and then the navigation solution is estimated directly from the accumulation results. Hence the navigation performance of GNSS can be effectively improved in complex environments by DPE. However, the signal accumulation of DPE requires calculating the correlation values of all the visible satellite signals at each candidate grid in the navigation domain, the computation load of which limits its application. To alleviate this problem, a GPU-based parallel implementation of the DPE receiver is designed, which decomposes the operations involved in the joint accumulation into three levels of parallel processing. The effectiveness of the designed parallel implementation of the DPE receiver is verified by experiment results. With the available hardware in our laboratory, the designed DPE implementation improves the efficiency to approximately 146 times on average over the conventional DPE implementation. © Aerospace Information Research Institute 2024.

关键词： Graphics processing unit

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Design of an Enhanced Turbulence Detection Process Considering Aircraft Response 8th

Design of an Enhanced Turbulence Detection Process Consideri...

引用

8th International Conference on Communications, signal processing, and Systems, CSPS 2019

作者： Fan, Yuandan Lu, Xiaoguang Li, Hai Wu, Renbiao Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (纸本)9789811394089

Turbulence is very hazardous to the flight safety, which generally can be detected by airborne weather radar. In newly specification DO-220A revised by Radio Technical Commission for Aeronautics (RTCA), standards of enhanced turbulence detection with airborne weather radar have been complemented. In the specification, it is stated that the characteristics of aircrafts should be taken into account in the turbulence detecting process. The aircraft response following a turbulence encounter is analysed in this paper, and then the characteristics of aircrafts are quantified by employing the load factor. Based on the quantified analysis, the vertical load factor is predicted based on both radar observation and the characteristics of aircraft. It can provide more accurate turbulence metrics for crews involved with different aircraft types. The simulation results demonstrate that the vertical load factor based turbulence detection process meets requirements of DO-220A. Furthermore, the research is important for the study of enhanced turbulence detection specifications documented in DO-220A. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Turbulence

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The DME Interference Mitigation Based Wavelet Thresholding Algorithm for L-DACS Receiver 9

The DME Interference Mitigation Based Wavelet Thresholding A...

引用

9th International Conference on Intelligent Computing and signal processing, ICSP 2024

作者： Peng, Xiangqing Wang, Jiani Wang, Lei Liu, Haitao Civil Aviation University of China Tianjin Key Lab for Advanced Signal Processing Tianjin China

ISBN: (纸本)9798350376548

The L-DACS operates as an inlay system between two adjacent channels of the Distance Measuring Equipment (DME) system since the spectrum resources in the L-band are scarce and fragmented. This DME signal severely impacts the performance of L-DACS. This paper proposes an approach for mitigating DME interference by integrating spectrum aggregation technology and a wavelet thresholding algorithm. To enhance spectral efficiency, the method utilizes direct wideband aggregation technology at the transmission end to expand the bandwidth. Then, at the receiving end of Orthogonal Frequency Division Multiplexing (OFDM), the received signal is decomposed layer by layer using the wavelet threshold algorithm. The difference between the spectrum-aggregated signal and the DME signal in the wavelet domain is effectively identified to reconstruct the DME signal, thereby achieving interference elimination. Simulation results demonstrate that this method improves spectrum efficiency and data transmission rate while significantly mitigating DME interference, thereby enhancing the link transmission reliability of the L-DACS system. © 2024 IEEE.

关键词： Orthogonal frequency division multiplexing

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Wind turbine clutter mitigation based on matching pursuits

Wind turbine clutter mitigation based on matching pursuits

引用

IET International Radar Conference 2015

作者： He, Weikun Shi, Yuluo Wang, Xiaoliang Wu, Renbiao Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (纸本)9781849199940

Wind turbines could have a serious impact on Air Traffic Control (ATC) radar system because of the complex electromagnetic scattering properties. In this paper, matching pursuit technology is studied to mitigate the wind turbines interference. Due to the large amount of calculation in the conventional MP algorithm, rotation rate of wind turbine and radar azimuth are firstly estimated based on the priori information, then matching pursuit algorithm is applied to mitigate the wind turbine clutter. Effectiveness of the proposed method is verified via simulation experiments.

关键词： Wind turbines

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A Novel Approach to Blind Source Extraction Based on Skewness

A Novel Approach to Blind Source Extraction Based on Skewnes...

引用

2006 8th International Conference on signal processing

作者： Qingyan Shi Renbiao Wu Shuyan Wang Key Lab for Radar Signal Processing Xidian UniversityXi'anShanxi Tianjin Key Lab for Advanced Signal Processing Civil Aviation University of China

ISBN: (纸本)0780397371

Blind signal extraction(BSE) is an efficient way to recover the source signals from the observed signals. In this paper,a new adaptive algorithm of blind signal extraction based on the skewness was introduced for the signals whose probability distribution is not *** algorithm cooperated with the deflation procedure realizes the extraction of source signals one bye *** third-order statistics are used in the novel algorithm,so it can reduce the computational burden *** simulations confirm the validity and performance of the algorithm.

关键词： BSE A Novel Approach to Blind Source Extraction Based on Skewness

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Wavelet domain steganalysis based on predictability analysis and magnitude prediction

Wavelet domain steganalysis based on predictability analysis...

引用

2009 2nd International Congress on image and signal processing, CISP'09

作者： Liang, Zhang Tianjin Key Lab. for Advanced Signal Processing Civil Aviation University of China Tianjin China

ISBN: (纸本)9781424441310

The accuracy of magnitude prediction is crucial for steganalysis schemes that use high order statistics in wavelet domain. The steganalysis performance can be improved by avoiding large prediction errors. In this paper, a statistical steganalysis algorithm is proposed based on predictability analysis and magnitude prediction of wavelet coefficients, which improves the steganalysis sensitivity by identifying potential locations with bad predictability. The weighting factors of the predictor, as well as the magnitude predictability, are derived from the local correlations of wavelet coefficients. Finally, stego images are distinguished from cover ones by analyzing the statistical properties of these prediction errors. Experiments show the performance enhancement due to bad points removing, and the proposed method is proved to be highly effective for the wavelet domain steganography. ©2009 IEEE.

关键词： Forecasting

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