Results 201 to 210 of about 7,032 (255)

<title>Automatic ship classification system for inverse synthetic aperture radar (ISAR) imagery</title>

SPIE Proceedings, 1995
M. M. Menon
openaire   +2 more sources

Classification of Automotive Targets Using Inverse Synthetic Aperture Radar Images

IEEE Transactions on Intelligent Vehicles, 2021
Traditionally, point cloud representations or Doppler spectrograms have been generated from short-range automotive radars for dynamic object detection and classification.
Neeraj Pandey, S. S. Ram
semanticscholar   +1 more source

Jointly Using Low-Rank and Sparsity Priors for Sparse Inverse Synthetic Aperture Radar Imaging

IEEE Transactions on Image Processing, 2020
The inverse synthetic aperture radar (ISAR) imaging technique of a moving target with sparse sampling data has attracted wide attention due to its ability to reduce the data collection burden.
Wei Qiu, Jianxiong Zhou, Q. Fu
semanticscholar   +1 more source

Inverse Synthetic Aperture Radar Imaging Using a Fully Convolutional Neural Network

IEEE Geoscience and Remote Sensing Letters, 2020
The traditional inverse synthetic aperture radar (ISAR) imaging uses the range-Doppler (RD) type of methods. The compressive sensing (CS)-based ISAR imaging is capable of obtaining good target images of high contrast and less sidelobe with much less ...
Changyu Hu, Ling Wang, Ze Li, Daiyin Zhu
semanticscholar   +1 more source

Novel scheme for inverse synthetic aperture radar (ISAR) imaging data compression

2001 CIE International Conference on Radar Proceedings (Cat No.01TH8559), 2002
The characteristics of the inverse synthetic aperture radar (ISAR) imaging data are fully analyzed from the view of complex image compression and the corresponding compressing method, Compression of AMplitude and Phase (CAMP) scheme for the phase history data, is proposed and verified by the real ISAR data.
null Lu Guangyue, null Shao Chao
openaire   +1 more source

Database Of Simulated Inverse Synthetic Aperture Radar Images For Short Range Automotive Radar

Radar, 2020
Inverse synthetic aperture radar (ISAR) images of dynamic targets have been used for automatic target recognition purposes. Limited experimental data of ISAR images of automotive targets are currently available to the radar community.
Neeraj Pandey, Gaurav Duggal, S. S. Ram
semanticscholar   +1 more source

Integrating deep learning-based data driven and model-based approaches for inverse synthetic aperture radar target recognition

Optical Engineering: The Journal of SPIE, 2020
. We explore the blending of model-based and deep learning approaches for target recognition in inverse synthetic aperture radar (ISAR) imagery. It evaluates five different approaches, namely, a model-based geometric hashing approach, a supervised deep ...
Rajkumar Theagarajan, B. Bhanu, T. Erpek, Yik-Kiong Hue, Robert Schwieterman, Kemal Davaslioglu, Yi Shi, Y. Sagduyu   +7 more
semanticscholar   +1 more source

A translational motion compensation technique for inverse synthetic aperture radar images using multi‐objective particle swarm optimization algorithm

Microwave and optical technology letters (Print), 2020
In this study, a novel multi‐objective (MO) motion compensation (MC) technique is proposed to clear blur effects in the inverse synthetic aperture radar (ISAR) images resulted by the translational motion of the target.
E. Yiğit
semanticscholar   +1 more source

Automatic Identification of Satellite Features from Inverse Synthetic Aperture Radar (ISAR) Images

2024 UKACC 14th International Conference on Control (CONTROL)
Andrew Begg, Eric Rogers, Bing Chu, Xiaohao Cai   +3 more
openaire   +2 more sources

Inverse Synthetic Aperture Radar Imaging Using Fourier Transform Technique

2019 1st International Conference on Innovations in Information and Communication Technology (ICIICT), 2019
Inverse Synthetic Aperture Radar (ISAR) imaging techniques are used to estimate the target spatial image using target backscatter data. In the ISAR measurement environment, the target is often modeled as a collection of point scatterers to take advantage
Priyanka Shakya, A. B. Bazil Raj
semanticscholar   +1 more source