Results 151 to 160 of about 1,780 (204)

Calibration of Linear Time-Varying Frequency Errors for Distributed ISAR Imaging Based on the Entropy Minimization Principle. [PDF]

Sensors (Basel), 2019
Kang H, Li J, Zhao H, Bao Z, Yu Z.
europepmc   +1 more source

Compressive Sensing for Tomographic Imaging of a Target with a Narrowband Bistatic Radar. [PDF]

Sensors (Basel), 2019
Nguyen NH, Berry P, Tran HT.
europepmc   +1 more source

Non-Stationary Platform Inverse Synthetic Aperture Radar Maneuvering Target Imaging Based on Phase Retrieval. [PDF]

Sensors (Basel), 2018
Shi H, Xia S, Qin Q, Yang T, Qiao Z.
europepmc   +1 more source

Multi-functional metasurface as a transmissive/reflective FSS and an on-air frequency mixer. [PDF]

Sci Rep
Kumar A, Kongari S, Chandrakapure Y, Sarkar D.   +3 more
europepmc   +1 more source

Inverse Synthetic-Aperture Radar(ISAR) Images Recognition Using Deep Learning

2020 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA), 2020
We propose a method to recognize and classify inverse synthetic-aperture radar (ISAR) images of a target. The information that is combined from various image frames, it is generally in the context of time-averaging to remove statistically atomic noise shifts in the images.
Abhishek Avadhani, Sayli Chaudhari, Pehlaj Gacheria, Stuti Ahuja   +3 more
openaire   +2 more sources

Cross-band Inverse Synthetic Aperture Radar (ISAR) Image Fusion

2007 International Symposium on Signals, Systems and Electronics, 2007
Research on image fusion is making rapid progress recently, because multiple looks of the same target from different aspects will increase the available knowledge and allow more useful target information to be extracted. Studying on the physical principle of constructing radar images, especially inverse synthetic aperture radar (ISAR) images, make the ...
Zhixi Li, Ram M. Narayanan
openaire   +2 more sources

A new auto-focus algorithm for inverse synthetic aperture radar (ISAR) imaging

Processing Workshop Proceedings, 2004 Sensor Array and Multichannel Signal, 2005
Autofocus is imperative for inverse synthetic aperture radar (ISAR) imaging. In this paper an approach for ISAR autofocus is developed by use of second order statistics (SOS) of returned signals. The ISAR observation model is established, the approach is verified and the relationship of the developed approach to other methods is investigated.
null Zhishun She, null Y. Liu
openaire   +2 more sources