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Video SAR Imaging Based on Low-Rank Tensor Recovery

IEEE Transactions on Neural Networks and Learning Systems, 2020
Due to its ability of forming continuous images for a ground scene of interest, the video synthetic aperture radar (SAR) has been studied in recent years.
Wei Pu   +4 more
semanticscholar   +1 more source

Analysis of the Multispectral and SAR Image

2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS), 2021
The SAR image and the multispectral image are both used for dynamic monitoring, mineral resources investigation, urban and rural monitoring and evaluation, traffic network exploration, forest resources investigation, desertification monitoring, and so on. The multi-spectral and SAR image fusion to improve the classify quality is discussed in this paper,
Shuchun Zhang   +5 more
openaire   +1 more source

Implementation of Real-time Automotive SAR Imaging

International Conference on Security and Management, 2020
This paper presents a synthetic aperture radar (SAR) system and processing algorithm for automotive applications using a short range vehicle-mounted Frequency Modulation Continuous Wave (FMCW) radar.
Kan Tang   +3 more
semanticscholar   +1 more source

Quality measures for SAR images

ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, 2003
Synthetic aperture radar (SAR) contains information features different from those of infrared images and conventional photography. Image quality measures specifically created for SAR are necessary to measure SAR processor performance especially in the context of lossy image data compression.
James E. Harris   +3 more
openaire   +1 more source

Image Decomposition Application to SAR Images

2003
We construct an algorithm to split an image into a sum u + v of a bounded variation component and a component containing the textures and the noise. This decomposition is inspired from arecent work of Y. Meyer. We find this decomposition by minimizing a convex functional which depends on the two variables u and v, alternatively in each variable.
Aujol, Jean-François   +3 more
openaire   +3 more sources

Random Signal Design for Joint Communication and SAR Imaging Towards Low-Altitude Economy

IEEE Wireless Communications Letters
Conventional synthetic aperture radar (SAR) imaging systems typically employ deterministic signal designs, which lack the capability to convey communication information and are thus not suitable for integrated sensing and communication (ISAC) scenarios ...
Bowen Zheng, Fan Liu
semanticscholar   +1 more source

Millimeter-Wave SAR-Imaging With Radar Networks Based on Radar Self-Localization

IEEE transactions on microwave theory and techniques, 2020
In this article, an imaging system is presented, which is solely based on distributed radar sensors mounted on a mobile platform, such as a robot or vehicle.
Maximilian Steiner   +2 more
semanticscholar   +1 more source

A visualization method for SAR images

2011 IEEE International Geoscience and Remote Sensing Symposium, 2011
Visual interpretation of SAR images plays a critical role in remote sensing applications. For rapidly obtaining the image suitable for human observation, a new method of visualization for SAR images is proposed in this paper. The statistics of the SAR data, including the single channel data intensity and the span of the Pol-SAR data, are derived.
Guangyi Zhou   +3 more
openaire   +2 more sources

Polarimetric SAR Image Factorization

IEEE Transactions on Geoscience and Remote Sensing, 2017
This paper reformulates the problem of polarimetric incoherent target decomposition as a general image factorization which aims to simultaneously estimate a dictionary of meaningful atom scatterers and their corresponding spatial distribution maps.
Feng Xu 0001, Qian Song, Ya-Qiu Jin
openaire   +2 more sources

Parallel Sar Image Enhancement

The International Journal of Supercomputer Applications and High Performance Computing, 1997
Synthetic aperture radar (SAR) offers the possibility of imaging the earth's surface independent of time of day or weather conditions. SAR images differ from optical images in that they contain speckle, multiplicative noise with a poor signal-to-noise ratio of about 1 to 1.
Cliff A. Addison   +5 more
openaire   +1 more source

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