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A high-accuracy interferometric SAR images registration strategy combined with cross correlation and spectral diversity

A high-accuracy interferometric SAR images registration stra...

引用

2017 International Conference on Radar Systems, Radar 2017

作者： Wang, Zhen Yang, Yanjiao Ding, Zegang Lin, Sheng Zhang, Tianyi Lv, Zheng Beijing Key Laboratory of Embedded Real-time Information Processing Technology School of Information and Electronics Beijing Institute of Technology Beijing100081 China Beijing Institute of Spacecraft System Engineering CAST Beijing100094 China

ISBN: (纸本)9781785615153

For the image registration of interferometric SAR, there is a contradiction between the registration accuracy and the robustness based on the traditional cross correlation and spectral diversity methods. To eliminate the contradiction, this paper proposes an image registration strategy combined with the respective advantages of above two methods. Its improvements are summarized as follows. Firstly, it divides the image registration process into two main steps. Step one is oriented to the image registration in the range direction based on cross correlation to enhance the robustness. Step two is oriented to the image registration in the azimuth direction based on spectral diversity to ensure the registration accuracy. Secondly, a method for detecting and correcting the singular values in the range pixels offsets is proposed in step one. It can reduce the impact of low-correlation regions. Finally, a hybrid filtering method is introduced for the azimuth pixels offsets in step two to reduce the impact of phase noise. Airborne dual-antenna data are employed to validate the effectiveness of the proposed strategy. © 2017 Institution of Engineering and technology. All rights reserved.

关键词： Interferometry

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A Method for Fast Remote Sensing Images Classification

A Method for Fast Remote Sensing Images Classification

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Li, Fengjiao Jing, Donglin Bi, Fukun Shi, Hao Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China School of Information Science and Technology Beijing China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China

ISBN: (纸本)9781728123455

Due to the characteristic of high score remote sensing images, such as large file, chaotic content and complex information, the demand for image classification speed and accuracy is increasing. In this paper, we combine the convolutional neural network and octave convolution to extract the complex high-order statistical properties of the image. We first analyze the more classical convolutional neural network, and use the octave convolution to make full use of the fine details of the changes of the high-frequency information of the remote sensing image. The memory and computing resources consumed are greatly reduced, and network optimization is performed. The test proves that the result is effective for speed and accuracy improvements. © 2019 IEEE.

关键词： Convolution

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Lightweight NPU Method Based on Hyper-Threading technology 2

Lightweight NPU Method Based on Hyper-Threading Technology

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2nd IEEE International Conference on Signal, information and Data processing, ICSIDP 2024

作者： Zhang, Ao Li, Yongrui Li, Wenlong Xie, Yizhuang Zhang, Zhihan Yang, Zhu Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Racobit Electronic Information Technology Co. Ltd Beijing China

ISBN: (纸本)9798331515669

With the rapid development of deep learning, the processing power of Neural processing Unit(NPU) continues to improve. However, this leads to an increasing scale of logical resources for NPU, making it challenging to deploy NPU on Field-Programmable Gate Array(FPGA). To address this issue and enable the deployment of high-computational-power NPU on FPGA, this paper proposes a lightweight NPU method based on hyper-threading technology, considering the characteristics of NPU hardware architecture. This method effectively reduces the logical resources usage of the NPU while ensuring only a minimal decrease in computational power, thus enabling successful FPGA deployment. The overall experiment is based on the Virtex UltraScale+ HBM VCU128 FPGA platform. After testing, it was found that the NPU, previously undeployable, could be successfully deployed after lightweight processing. The resource usage ratio of LUTs decreased by about 10%, and the computational power only decreased by 4%. In other words, by using this method, the scale of logical resource usage of the NPU was effectively reduced while ensuring a minimal decrease in computational power, improving the deployment situation of the NPU on FPGA. This approach has certain reference value and significance for the lightweight design of NPU. © 2024 IEEE.

关键词： Integrated circuit design

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AN EARTH-BASED RADAR HIGH RESOLUTION IMAGING technology OF THE MOON BASED ON SUB-APERTURE DELAY DOPPLER ALGORITHM

AN EARTH-BASED RADAR HIGH RESOLUTION IMAGING TECHNOLOGY OF T...

引用

IET International Radar Conference 2023, IRC 2023

作者： Zhang, Guangwei Ding, Zegang Wei, Yi Li, Gen Zhang, Tianyi School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing China Chongqing Innovation Center Beijing Institute of Technology Chongqing China

ISBN: (纸本)9781839539954

The delay Doppler algorithm is the earliest developed and the most used frequency-domain imaging algorithm for the moon, which is suitable for low resolution imaging. Howeaver, this algorithm usually assumes that the Doppler phase induced by the rotation of the target is only first order. This assumption is not suitable for high resolution imaging with long-term observation. In this paper, an earth-based radar high resolution imaging technology based on sub-aperture delay Doppler algorithm is proposed. This paper first analyses the basic constraints of the sub-aperture division, which avoid the ARU and ADU effects in each sub-aperture and ensure that the Doppler phase is linear. Then, the sub-aperture delay Doppler imaging is performed to obtain the sub-aperture images. Then, multiple sub-aperture delay Doppler images can be projected into the geographic coordinate system based on the RD positioning model. Finally, multiple sub-aperture images can be coherently fused to obtain a full-aperture image. Computer simulation results and experimental results based on a distributed coherent radar prototype system validate the proposed algorithm. © The Institution of Engineering & technology 2023.

关键词： Frequency domain analysis

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A NETWORK COMPRESSION METHOD BASED ON NETWORK ARCHITECTURE SEARCH FOR SAR TARGET DETECTION

A NETWORK COMPRESSION METHOD BASED ON NETWORK ARCHITECTURE S...

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IET International Radar Conference 2023, IRC 2023

作者： Zhao, Penghe Jiang, Zhengjie Qi, Baogui Chen, He Chen, Liang Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing Institute of Technology Beijing100081 China Yangtze Delta Region Academy of Beijing Institute of Technology Zhejiang Jiaxing314019 China

ISBN: (纸本)9781839539954

With the development of high-resolution satellites, real-time processing of satellite data has become a major development trend. However, due to the limitations of onboard resources, onboard real-time processing faces problems such as insufficient storage space, insufficient operating memory, and high computational complexity. To address the above issues, we propose a Synthetic Aperture Radar (SAR) image detection algorithm based on neural network structure search. By designing efficient and flexible search spaces, search strategies, and subnet evaluation modules, lightweight detection networks that meet specific task requirements can be searched from the original detection network. The proposed method was tested on three SAR ship datasets, and the results showed that the proposed method can reduce model complexity and improve inference speed while keeping detection accuracy nearly lossless. © The Institution of Engineering & technology 2023.

关键词： Radar target recognition

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Suppressing the effects of ionospheric scintillation on geosynchronous SAR by optimised orbit design

Suppressing the effects of ionospheric scintillation on geos...

引用

2017 International Conference on Radar Systems, Radar 2017

作者： Li, YuanHao Liu, XiangRong Hu, Cheng Dong, XiChao School of Information and Electronics Beijing Institute of Technology 100081 China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics 100076 China Beijing Key Laboratory of Embedded Real-time information Processing Technology 100081 China

ISBN: (纸本)9781785615153

An L band geosynchronous synthetic aperture radar (GEO SAR) will be sensitive to ionosphere scintillation because of its low carrier frequency. Meanwhile, because of the high orbit, GEO SAR has a higher probability to meet ionospheric scintillation. In this paper, we propose an orbit strategy for eliminating the impacts of ionospheric scintillation. It is realized by selecting a proper orbit element (time past perigee) to avoid imaging for the sensitive region of ionospheric scintillation during the eruption time interval of ionospheric scintillation with the highest probability. Finally, the simulation based on systems tool kit (STK) software was conducted to verify the effectiveness of the method. © 2017 Institution of Engineering and technology. All rights reserved.

关键词： Synthetic aperture radar

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A modified imaging interval selection method based on joint time-frequency analysis for ship ISAR imaging 12

A modified imaging interval selection method based on joint ...

引用

12th European Conference on Synthetic Aperture Radar, EUSAR 2018

作者： Li, Gen Zhang, Tianyi Li, Yong Ding, Zegang Ke, Meng Radar Research Lab School of Information and Electronics Beijing Institute of Technology China Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Radar Research Lab School of Information and Electronics Beijing Institute of Technology China

ISBN: (纸本)9783800746361

Selecting proper imaging intervals where the ship rotation vector is constant is a very simple method to obtain high-quality ship inverse synthetic aperture radar (ISAR) images. However, existing imaging interval selection methods are usually based on traversal or iteration, which means that they are time-consuming and complex. Thus, to realize imaging interval selection simply and effectively, a modified imaging interval selection method based on joint time-frequency analysis (JTFA) is proposed in paper. Compared with the traditional range-Doppler algorithm (RDA), the proposed method just has one added step of JTFA. real data processing results validate the effectiveness and superiority of the proposed method. © VDE VERLAG GMBH Â Berlin Â Offenbach.

关键词： Ships

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Tiny Target Detection with Adaptive Weighted Feature Fusion in UAV Images 2

Tiny Target Detection with Adaptive Weighted Feature Fusion ...

引用

2nd IEEE International Conference on Signal, information and Data processing, ICSIDP 2024

作者： Kang, Xiaohui Zheng, Lingjie Deng, Zhiyuan Han, Yuqi Tang, Linbo Deng, Chenwei Beijing Institute of Technology Beijing Key Laboratory of Embedded Real-Time Information Processing Technology Beijing China Beijing Institute of Technology Advanced Technology Research Institute Jinan250300 China Beijing Institute of Technology Beijing China

ISBN: (纸本)9798331515669

With the development of drones, imaging lenses and other equipment, effective and accurate detection of tiny targets in drone remote sensing images has become a hotspot. However, the features of tiny targets are weak and difficult to extract. Most existing methods enhance the target feature expression by directly superimposing and fusing multi-scale feature maps. Only the features with stronger responses in adjacent feature maps can be enhanced, while the targets with weaker responses may be diluted. For this reason, an adaptive weighted fusion small target detection algorithm is designed. To enhance the proportion of small targets in feature maps of different resolutions, a bidirectional feature pyramid network is designed. The adaptive weights are set according to the feature density in the feature map, and they will be used to perform bidirectional fusion on feature maps to reduce the interference of background and large targets on the features of small targets. Besides, we design multi-scale dilated convolution, which is injected into the feature fusion network. In this way, we successfully enhance the expression of small target feature. Finally, we test the algorithm via the public dataset VisDrone, the results show that our methods significantly improve the accuracy of small target detection. © 2024 IEEE.

关键词： Drones

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Multi-sensor Image Stitching and Fusion Based Air Infrared Target Cooperative Detection

Multi-sensor Image Stitching and Fusion Based Air Infrared T...

引用

2019 IEEE International Conference on Signal, information and Data processing, ICSIDP 2019

作者： Nan, Jinghong Zhao, Baojun Cui, Tingting Xie, Yongfeng Radar Research Lab School of Information and Electronics Beijing Institute of Technology Beijing China Beijing Key Laboratory of Embedded Real-time Information Processing Technology Beijing China Beijing Institute of Aerospace Systems Engineering Beijing China

ISBN: (纸本)9781728123455

Robust and efficient air infrared small target detection is widely used in reconnaissance and early warning system. However, there exist two critical difficulties, i.e., the limited detection range and the poor detection performance of single infrared sensor. To overcome those difficulties, in this paper, we propose a novel cooperative detection method of multiple infrared sensors for air small target. Specifically, a multiscale block local contrast measurement method is introduced to achieve the target detection of each infrared sensor. Afterwards, a double-layer ring grid corner feature extraction method is proposed to achieve the image stitching accurately between multiple infrared sensors. In addition, the gray correlation analysis with position constraint based feature level fusion method is exploited to match targets in different sensors. Experimental results on testing image sequences demonstrate that the proposed method can improve the detection rate and reduce the false alarm rate effectively on the condition of limited detection range of each single sensor. © 2019 IEEE.

关键词： Image enhancement

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A method for enhancing infrared small target images under complex sky backgrounds 2

A method for enhancing infrared small target images under co...

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2nd IEEE International Conference on Signal, information and Data processing, ICSIDP 2024

作者： Xu, Yuhan Tang, Linbo Sun, Haotian Beijing Institute of Technology Beijing Key Laboratory of Embedded Real-Time Information Processing Radar Research Lab School of Information and Electronics Beijing China Advanced Technology Research Institute Beijing Institute of Technology Jinan250300 China

ISBN: (纸本)9798331515669

Infrared target detection is currently widely used in both military and civilian fields. Due to the lower resolution of infrared images compared to visible light images and the lack of texture information in small targets, the quality of infrared small target images is often poor and not suitable for direct detection. Therefore, enhancing low-quality infrared small target images is a necessary step before object detection can be performed. This article presents a method for enhancing infrared images of small targets. The process begins with applying guided filtering to the original image. The resulting detail layer is then used as a guided image for a second guided filtering of the base layer, producing a second detail layer. Additionally, a novel approach to local contrast enhancement is introduced, which applies contrast enhancement specifically to this secondary detail layer. Experimental results has been demonstrated that the enhancement method proposed in this paper significantly improves the visibility of the target area while reducing background interference, without losing information about small targets. Additionally, this method outperforms other common techniques in terms of enhancement effect, as shown in comparative experiments. © 2024 IEEE.

关键词： Wiener filtering

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