Results 71 to 80 of about 13,504 (151)

A survey on ISAR autofocusing techniques

2004 International Conference on Image Processing, 2004. ICIP '04., 2005
Over many years of research, several ISAR autofocusing techniques have been proposed. Today, we can divide them into two main categories: parametric and non-parametric techniques. The prominent point processing and the phase gradient algorithm are two classical examples of non-parametric techniques, whereas the more recent image contrast and entropy ...
BERIZZI, FABRIZIO, MARTORELLA, MARCO, B. HAYWOOD, DALLE MESE, ENZO, S. BRUSCOLI   +4 more
openaire   +2 more sources

AF-AMPNet: A Deep Learning Approach for Sparse Aperture ISAR Imaging and Autofocusing

IEEE Transactions on Geoscience and Remote Sensing, 2022
Inverse synthetic aperture radar (ISAR) imaging and autofocusing are challenging under sparse aperture (SA) conditions. Traditional imaging or autofocusing methods fail to obtain satisfying results due to the nonuniform and incomplete data caused by SA ...
Shunjun Wei, Jiadian Liang, Mou Wang, Jun Shi, Xiaoling Zhang, Jinhe Ran   +5 more
semanticscholar   +1 more source

RaNeRF: Neural 3-D Reconstruction of Space Targets From ISAR Image Sequences

IEEE Transactions on Geoscience and Remote Sensing, 2023
Compared to 2-D inverse synthetic aperture radar (ISAR) images of a space target, its 3-D model can provide adequate details and accurate measurement parameters.
Afei Liu, Shuanghui Zhang, Chi Zhang, Shuaifeng Zhi, Xiang Li   +4 more
semanticscholar   +1 more source

Abnormal Dynamic Recognition of Space Targets From ISAR Image Sequences With SSAE-LSTM Network

IEEE Transactions on Geoscience and Remote Sensing, 2023
Awareness of abnormal dynamics of space targets is critical for space surveillance. With the intrinsic range-Doppler (RD) projection mechanism, an inverse synthetic aperture radar (ISAR) image sequence naturally has crucial potential for abnormal ...
Jia Duan, Yan Ma, Lei Zhang, Pengfei Xie
semanticscholar   +1 more source

ISAR Processing

2018
This chapter focuses on ISAR signal processing techniques. As already stated in Chapter 1, ISAR is another way to face the problem of forming high resolution radar images of targets. Differently from SAR, ISAR techniques exploit the target motion to form e.m. images of the illuminated targets.
Martorella, Marco, Berizzi, Fabrizio, Giusti, Elisa, Bacci, Alessio   +3 more
openaire   +3 more sources

NLSAN: A Non-Local Scene Awareness Network for Compact Polarimetric ISAR Image Super-Resolution

IEEE Transactions on Geoscience and Remote Sensing, 2023
Polarimetric inverse synthetic aperture radar (ISAR) can operate all-day and all-weather, making it crucial for space surveillance. The compact polarimetric (CP) mode balances hardware complexity and polarimetric information, which is commonly equipped ...
Ming-Dian Li, Junwu Deng, Shun-Ping Xiao, Si-Wei Chen   +3 more
semanticscholar   +1 more source

Bistatic ISAR

2018
Bistatic inverse synthetic aperture radar (B-ISAR) has progressed in the last decades pushed by technological advancements and by the need to overcome some limitations imposed by the monostatic radar geometry, as well as the need to image stealthy targets.
Martorella, Marco, Cataldo, Davide, Gelli, Samuele, Tomei, S.   +3 more
  +5 more sources

Scattering Characteristics Guided Network for ISAR Space Target Component Segmentation

IEEE Geoscience and Remote Sensing Letters
Affected by the large dynamic range of gray values, strong scattering point edge effect, noise, and clutter, inverse synthetic aperture radar (ISAR) images have problems such as boundary blurring and target discontinuity, which bring great challenges to ...
Fengjun Zhong, F. Gao, Tianjin Liu, Jun Wang, J. Sun, Huiyu Zhou   +5 more
semanticscholar   +1 more source

ISAR Image Segmentation for Space Target Based on Contrastive Learning and NL-Unet

IEEE Geoscience and Remote Sensing Letters, 2023
The inverse synthetic aperture radar (ISAR) images are often afflicted by boundary-blurring, discontinuity, sidelobe effects of strong scattering points, a large dynamic range of gray values, and azimuth defocus, which pose significant challenges to ...
P. Kou, Xiangfeng Qiu, Y. Liu, Dongjie Zhao, Weijie Li, Shuanghui Zhang   +5 more
semanticscholar   +1 more source

Polarimetric ISAR Space Target Structure Recognition Based on Embedded Scattering Mechanism and Semi-Supervised Representation Learning

IEEE Transactions on Geoscience and Remote Sensing
Identifying satellite components in polarimetric inverse synthetic aperture radar (ISAR) images is beneficial for monitoring their operation and health status.
Ming-Dian Li, Shun-Ping Xiao, Si-Wei Chen   +2 more
semanticscholar   +1 more source