Results 11 to 20 of about 3,167 (215)

Characterisation of resident space objects using multistatic interferometric inverse synthetic aperture radar imaging [PDF]

open access: yesIET Radar, Sonar & Navigation
This paper illustrates an interferometric inverse synthetic aperture radar based on three‐dimensional imaging and rotational velocity estimation from a multistatic setup with three ground‐based radars with non‐orthogonal baselines.
Manjunath Thindlu Rudrappa   +2 more
doaj   +2 more sources

Inverse Airborne Optical Sectioning

open access: yesDrones, 2022
We present Inverse Airborne Optical Sectioning (IAOS), an optical analogy to Inverse Synthetic Aperture Radar (ISAR). Moving targets, such as walking people, that are heavily occluded by vegetation can be made visible and tracked with a stationary ...
Rakesh John Amala Arokia Nathan   +2 more
doaj   +1 more source

Noise-robust range alignment method for inverse synthetic aperture radar based on aperture segmentation and average range profile correlation

open access: yesEURASIP Journal on Advances in Signal Processing, 2021
Range alignment is an essential procedure in the translation motion compensation of inverse synthetic aperture radar imaging. Global optimization or maximum-correlation-based algorithms have been used to realize range alignment.
Yue Lu, Jian Yang, Yue Zhang, Shiyou Xu
doaj   +1 more source

Inverse Synthetic Aperture Radar Sparse Imaging Recovery Technique Based on Improved Alternating Direction Method of Multipliers. [PDF]

open access: yesSensors (Basel)
Inverse synthetic aperture radar (ISAR) technology is widely used in the field of target recognition. This research addresses the image reconstruction error in sparse imaging for bistatic radar systems. In this paper, sparse imaging technology is studied,
Hao H, Zhu W, Yu R, Liu D.
europepmc   +2 more sources

Multipath Reflectivity Estimation in Urban Environments for Synthetic Aperture Radar Images [PDF]

open access: yes, 2010
Synthetic Aperture Radar (SAR) images a target region reflectivity function in the multi-dimensional spatial domain of range and cross-range. SAR synthesizes a large aperture radar in order to achieve a finer azimuth resolution than the one provided by ...
Arriba Ruiz, Imanol de   +5 more
core   +2 more sources

Moving Target Refocusing With the FMCW SAR System MIRANDA-35

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Inverse synthetic aperture radar is a commonly adopted technique for producing high-resolution images of moving targets. This article investigates the imaging capabilities of high-frequency and high-bandwidth systems by means of two distinct experiments.
Emiliano Casalini   +2 more
doaj   +1 more source

Interferometric baseline performance estimations for multistatic synthetic aperture radar configurations derived from GRACE GPS observations [PDF]

open access: yes, 2006
Recent studies have demonstrated the usefulness of global positioning system (GPS) receivers for relative positioning of formation-flying satellites using dual-frequency carrier-phase observations. The accurate determination of distances or baselines
D'Amico, Simone   +2 more
core   +1 more source

Compressed sensing of monostatic and multistatic SAR [PDF]

open access: yes, 2013
In this letter, we study the impact of compressed data collections from a synthetic aperture radar (SAR) sensor on the reconstruction quality of a scene of interest.
Çetin, Müjdat   +5 more
core   +1 more source

Photonics-Based High-Resolution 3D Inverse Synthetic Aperture Radar Imaging

open access: yesIEEE Access, 2019
A photonics-based radar for high-resolution 3D microwave imaging is proposed and demonstrated, in which high range resolution is achieved by employing a wideband linearly frequency modulated signal, and high cross-range resolution in both azimuth and ...
Xingwei Ye   +4 more
doaj   +1 more source

Inverse Synthetic Aperture Radar Sparse Imaging Exploiting the Group Dictionary Learning

open access: yesRemote Sensing, 2021
Sparse imaging relies on sparse representations of the target scenes to be imaged. Predefined dictionaries have long been used to transform radar target scenes into sparse domains, but the performance is limited by the artificially designed or existing ...
Changyu Hu   +3 more
doaj   +1 more source

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