Year |
Citation |
Score |
2016 |
Huber-Shalem R, Hadar O, Rotman SR, Huber-Lerner M. Parametric temporal compression of infrared imagery sequences containing a slow-moving point target. Applied Optics. 55: 1151-63. PMID 26906391 DOI: 10.1364/Ao.55.001151 |
0.688 |
|
2015 |
Huber-Lerner M, Hadar O, Rotman SR, Huber-Shalem R. Hyperspectral Band Selection for Anomaly Detection: The Role of Data Gaussianity Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/Jstars.2015.2487638 |
0.559 |
|
2015 |
Cohen E, Heiman R, Carmi M, Hadar O, Cohen A. When physics meets signal processing: Image and video denoising based on ising theory Signal Processing: Image Communication. 34: 14-21. DOI: 10.1016/J.Image.2015.02.007 |
0.351 |
|
2014 |
Huber-Lerner M, Hadar O, Rotman SR, Huber-Shalem R. Compression of hyperspectral images containing a subpixel target Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7: 2246-2255. DOI: 10.1109/Jstars.2014.2320754 |
0.674 |
|
2013 |
Huber-Shalem R, Hadar O, Rotman SR, Huber-Lerner M. Compression of infrared imagery sequences containing a slow-moving point target, part II. Applied Optics. 52: 1646-54. PMID 23478768 DOI: 10.1364/Ao.52.001646 |
0.682 |
|
2013 |
Huber-Shalem R, Hadar O, Rotman SR, Huber-Lerner M, Evstigneev S. Improving variance estimation ratio score calculation for slow moving point targets detection in infrared imagery sequences Proceedings of Spie - the International Society For Optical Engineering. 8857. DOI: 10.1117/12.2023681 |
0.651 |
|
2012 |
Cohen E, Heiman R, Hadar O. Image and video restoration via Ising-like models Proceedings of Spie - the International Society For Optical Engineering. 8295. DOI: 10.1117/12.908925 |
0.322 |
|
2012 |
Huber-Shalem R, Hadar O, Rotman SR, Huber-Lerner M. Temporal and spatial compression of infrared imagery sequences containing slow moving point targets 2012 Ieee 27th Convention of Electrical and Electronics Engineers in Israel, Ieeei 2012. DOI: 10.1109/EEEI.2012.6377096 |
0.336 |
|
2012 |
Huber-Lerner M, Hadar O, Rotman SR, Huber-Shalem R. Compression of hyperspectral images containing a sub-pixel target 2012 Ieee 27th Convention of Electrical and Electronics Engineers in Israel, Ieeei 2012. DOI: 10.1109/EEEI.2012.6377033 |
0.437 |
|
2010 |
Huber-Shalem R, Hadar O, Rotman SR, Huber-Lerner M. Compression of infrared imagery sequences containing a slow-moving point target. Applied Optics. 49: 3798-813. PMID 20648150 |
0.666 |
|
2008 |
Hadar O, Goldberg E, Topchik E. The influence of image compression on target acquisition Proceedings of Spie - the International Society For Optical Engineering. 6806. DOI: 10.1117/12.767910 |
0.468 |
|
2001 |
Arbel D, Hadar O, Kopeika NS. Medical image restoration of dynamic lungs using optical transfer function of lung motion. Journal of Biomedical Optics. 6: 193-9. PMID 11375729 DOI: 10.1117/1.1352749 |
0.337 |
|
1998 |
Succary R, Maltz M, Hadar O, Rotman SR, Kopeika NS. Relative effects of distortion and noise on target acquisition: the advisability of image restoration Optical Engineering. 37: 1914-1922. DOI: 10.1117/1.601897 |
0.607 |
|
1998 |
Hadar O, Rotman SR, Kopeika NS, Kowalczyk M. Incorporating the entire modulation transfer function into an infrared target acquisition model Infrared Physics & Technology. 39: 307-314. DOI: 10.1016/S1350-4495(98)00014-0 |
0.66 |
|
1997 |
Succary R, Corse N, Hadar O, Rotman SR, Kopeika NS. Relative effects of blur and noise on target acquisition: The advisability of image restoration Proceedings of Spie - the International Society For Optical Engineering. 3128: 120-129. DOI: 10.1117/12.283921 |
0.446 |
|
1997 |
Hadar O, Corse N, Khalif R, Neumann Y, Rotman SR, Kopeika NS. Image restoration for target detection: Will it help? Proceedings of Spie - the International Society For Optical Engineering. 3110: 44-55. DOI: 10.1117/12.281364 |
0.497 |
|
1997 |
Hadar O, Mandelblat A, Sabath R, Kopeika NS, Rotman SR. Influence of sensor motion on infrared target acquisition Infrared Physics & Technology. 38: 373-381. DOI: 10.1016/S1350-4495(97)00023-6 |
0.676 |
|
1996 |
Hadar O, Rotman SR, Kopeika NS. Incorporating the entire modulation transfer function into a target acquisition model Proceedings of Spie. 2742: 112-121. DOI: 10.1117/12.242988 |
0.668 |
|
1996 |
Hadar O. Image motion restoration from a sequence of images Optical Engineering. 35: 2898. DOI: 10.1117/1.600959 |
0.408 |
|
1995 |
Hadar O, Kuntsevitsky A, Wasserblat M, Kopeika NS, Rotman SR. Automatic target recognition during sensor motion and vibration Optical Engineering. 34: 3062-3068. DOI: 10.1117/12.210733 |
0.664 |
|
1995 |
Rotman SR, Gordon ES, Hadar O, Kopeika NS, George V, Kowalczyk ML. Search strategy for optimal infrared target acquisition performance Infrared Physics & Technology. 36: 1025-1034. DOI: 10.1016/1350-4495(95)00037-Y |
0.619 |
|
1995 |
Hadar O, Rotman SR, Kopeika NS. Thermal image target acquisition probabilities in the presence of vibrations Infrared Physics & Technology. 36: 691-702. DOI: 10.1016/1350-4495(94)00108-W |
0.638 |
|
1994 |
Hadar O, Rotman SR, Kopeika NS. Target acquisition modeling of forward-motion considerations for airborne reconnaissance over hostile territory Optical Engineering. 33: 3106-3117. DOI: 10.1117/12.177485 |
0.655 |
|
1993 |
Hadar O, Rotman SR, Kopeika NS. Motion considerations for airborne reconnaissance of a target over hostile territory Proceedings of Spie. 1950: 115-128. DOI: 10.1117/12.156597 |
0.622 |
|
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