Search Results for author: Deren Li

Found 11 papers, 3 papers with code

An introduction to radar Automatic Target Recognition (ATR) technology in ground-based radar systems

no code implementations23 Oct 2023 Jiangkun Gong, Jun Yan, Deyong Kong, Deren Li

This paper presents a brief examination of Automatic Target Recognition (ATR) technology within ground-based radar systems.

Formation Wing-Beat Modulation (FWM): A Tool for Quantifying Bird Flocks Using Radar Micro-Doppler Signals

no code implementations27 Sep 2023 Jiangkun Gong, Jun Yan, Deyong Kong, Ruizhi Chen, Deren Li

Radar echoes from bird flocks contain modulation signals, which we find are produced by the flapping gaits of birds in the flock, resulting in a group of spectral peaks with similar amplitudes spaced at a specific interval.

Introduction to Drone Detection Radar with Emphasis on Automatic Target Recognition (ATR) technology

no code implementations19 Jul 2023 Jiangkun Gong, Jun Yan, Deyong Kong, Deren Li

The authors suggest integrating ATR capabilities into drone detection radar systems to improve performance and manage emerging threats.

An Improved End-to-End Multi-Target Tracking Method Based on Transformer Self-Attention

no code implementations11 Nov 2022 Yong Hong, Deren Li, Shupei Luo, Xin Chen, Yi Yang, Mi Wang

This study proposes an improved end-to-end multi-target tracking algorithm that adapts to multi-view multi-scale scenes based on the self-attentive mechanism of the transformer's encoder-decoder structure.

Multiple Object Tracking

CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point Cloud

1 code implementation24 Feb 2022 Ruiqi Ma, Chi Chen, Bisheng Yang, Deren Li, Haiping Wang, Yangzi Cong, Zongtian Hu

At present, the anchor-based or anchor-free models that use LiDAR point clouds for 3D object detection use the center assigner strategy to infer the 3D bounding boxes.

3D Object Detection object-detection

Aerial Scene Parsing: From Tile-level Scene Classification to Pixel-wise Semantic Labeling

no code implementations6 Jan 2022 Yang Long, Gui-Song Xia, Liangpei Zhang, Gong Cheng, Deren Li

Finally, we perform ASP by unifying the tile-level scene classification and object-based image analysis to achieve pixel-wise semantic labeling.

Aerial Scene Classification Benchmarking +4

Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping

no code implementations24 Aug 2021 Zhenfeng Shao, Gui Cheng, Deren Li, Xiao Huang, Zhipeng Lu, Jian Liu

The integrated results combined both the characteristic of UAV and mobile mapping vehicle point cloud, confirming the practicability of the proposed joint data acquisition platform and the effectiveness of spatio-temporal-spectral-angular observation model.

Signal Acquisition of Luojia-1A Low Earth Orbit Navigation Augmentation System with Software Defined Receiver

no code implementations31 May 2021 Liang Chen, Xiangchen Lu, Nan Shen, Lei Wang, Yuan Zhuang, Ye Su, Deren Li, Ruizhi Chen

The performance of those integration algorithms on expanding the successful acquisition time range is verified by the real data collected from the Luojia-1A satellite.

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID

1 code implementation22 Jun 2020 Yang Long, Gui-Song Xia, Shengyang Li, Wen Yang, Michael Ying Yang, Xiao Xiang Zhu, Liangpei Zhang, Deren Li

After reviewing existing benchmark datasets in the research community of RS image interpretation, this article discusses the problem of how to efficiently prepare a suitable benchmark dataset for RS image interpretation.

General Classification Image Classification +1

Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder

no code implementations29 May 2018 Yaxiang Fan, Gongjian Wen, Deren Li, Shaohua Qiu, Martin D. Levine

The method is based on Gaussian Mixture Variational Autoencoder, which can learn feature representations of the normal samples as a Gaussian Mixture Model trained using deep learning.

Anomaly Detection Test +1

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