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A novel deep semantic- and vision-based self-attention architecture for skin cancer classification. [PDF]

Digit Health
Aftab J, Khan MA, Arshad S, Hussain A, Alsenan S, Cho Y, Nam Y.   +6 more
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Rayleigh-based segmentation of ISAR images

Applied Optics, 2023
Inverse synthetic aperture radar (ISAR) provides a solution to increase the radar angular resolution by observing a moving target over time. The high-resolution ISAR image should undergo a segmentation step to get the target’s point cloud data, which is then used for classification purposes. Existing segmentation algorithms seek an optimal threshold in
S. Hamed Javadi, Hichem Sahli, André Bourdoux   +2 more
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Coherent multistatic ISAR imaging

IET International Conference on Radar Systems (Radar 2012), 2012
This paper presents methods for Coherent Multistatic Radar Imaging for Non Cooperative Target Recognition (NCTR) with a network of radar sensors. Coherent Multistatic Radar Imaging is based on an extension of existing monostatic ISAR algorithms to the multistatic environment.
Dorp, Ph. van, Otten, M.P.G., Verzeilberg, J.M.M.   +2 more
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Simulations of ISAR image errors

IEEE Transactions on Instrumentation and Measurement, 1990
The authors present concepts and show simulation results for a number of situations where the ISAR (inverse synthetic aperture radar) image is degraded by errors introduced by the signal acquisition and data processing. These errors result in degradation of resolution, false targets in the image, geometric distortion of the image, incorrect values for ...
A. Jain, I. Patel
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ISAR imaging of helicopter

2007 IEEE International Geoscience and Remote Sensing Symposium, 2007
Conventional envelope alignment method of ISAR imaging assumes that the target is a rigid body, and therefore, the correlation between one-dimensional range profiles at neighboring time slots gives a larger value compared to correlation between time separated range profiles.
null Chang Zheng Ma, null Tat Soon Yeo, null Hwee Siang Tan, null Zhoufeng Liu, null Xiujie Dong, null Bin Zou   +5 more
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Statistical CLEAN Technique for ISAR Imaging

IEEE Transactions on Geoscience and Remote Sensing, 2007
Inverse synthetic aperture radar (ISAR) images are frequently used in target classification and recognition applications. Some classifiers often require features that can be more easily obtained by extracting scattering centers from ISAR data rather than by reconstructing ISAR images.
MARTORELLA, MARCO, ACITO, NICOLA, BERIZZI, FABRIZIO   +2 more
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Polarimetric Three-Dimensional ISAR Imaging

2022 IEEE Radar Conference (RadarConf22), 2022
Three-dimensional (3D) ISAR imaging is an effective imaging technique which allows to overtake some interpretability issues typical of bidimensional imaging systems and to enhance the potential of Automatic Target Recognition (ATR) algorithms. 3D ISAR depends strongly on the autofocus procedure and its reconstruction capacity relies onto scattering ...
Mancuso F., Giusti E., Martorella M.
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Hybrid SAR/ISAR for distributed ISAR imaging of moving targets

2015 IEEE Radar Conference (RadarCon), 2015
The hybrid SAR/ISAR processing takes advantages of both SAR and ISAR to generate high-resolution imagery of moving targets. In this paper, we introduce the concept of hybrid SAR/ISAR, discuss how to reform a high-resolution imagery of moving targets and extract 3-D target feature through hybrid processing of the data taken by multiple arbitrarily ...
Victor C. Chen, Baokun Liu
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Simulation of shipborne ISAR imaging

2012 IEEE 11th International Conference on Signal Processing, 2012
Shipborne inverse synthetic aperture radar (ISAR) imaging is in imperious demands with warfare at sea tending to be the key battle field in the future. Simulations of shipborne ISAR imaging are studied when ships are yawing, pitching and rolling are studied.
Fulin Su, Jianjun Gao, Jing Lu
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