Infrared Images Of Microwave Scattering From A Ferrite Coated Cylinder

1988 ◽  
Author(s):  
Ronald M. Sega ◽  
John D. Norgard ◽  
Alexander L. Sapp
Keyword(s):  
Infrared Images ◽  
Microwave Scattering ◽  
Coated Cylinder

scholarly journals Prevalence of Precipitation from Warm-Topped Clouds over Eastern Asia and the Western Pacific

1999 ◽  
Vol 12 (1) ◽  
pp. 220-229 ◽  
Author(s):  
Grant W. Petty
Keyword(s):  
Southern China ◽  
Infrared Images ◽  
Eastern Asia ◽  
Substantial Fraction ◽  
Microwave Scattering ◽  
Four Seasons ◽  
Cloud Tops ◽  
Global Precipitation ◽  
The Western Pacific ◽  
Full Disk

Abstract Land and ship surface synoptic reports of nondrizzle intensity precipitation in progress were matched with 3596 nearly coincident full disk 4-km resolution infrared images from the GMS-5 geostationary satellite, covering 18 calendar months, in order to derive regional and seasonal estimates of the contribution of relatively warm-topped clouds to the total time in precipitation. Minimum infrared temperatures of 273 K or warmer were found to be associated with 20%–40% of the surface reports of nondrizzle precipitation over much of the ocean east of Australia during all four seasons. Similar or even larger fractions were found during December–March over parts of Indochina, southern China, and the adjacent South China Sea. Although reports of precipitation of moderate or heavy intensity were found to be associated more often with colder cloud tops, there were still regions for which a substantial fraction of these reports were associated with relatively warm clouds. These results suggest at least a potential for significant regional and seasonal biases in satellite infrared or passive microwave scattering based estimates of global precipitation.

Integrated Approach for Sclera Recognition and Eye Gaze Detection

2018 ◽  
Vol 6 (7) ◽  
pp. 77
Author(s):  
Snehal S. Rajole ◽  
J. V. Shinde
Keyword(s):  
Near Infrared ◽  
Eye Gaze ◽  
Integrated Approach ◽  
Error Rates ◽  
Infrared Images ◽  
Scaling Method ◽  
Extensive Simulation ◽  
Sclera Recognition ◽  
Gaze Detection ◽  
Biometric Trait

In this paper we proposed unique technique which is adaptive to noisy images for eye gaze detection as processing noisy sclera images captured at-a-distance and on-the-move has not been extensively investigated. Sclera blood vessels have been investigated recently as an efficient biometric trait. Capturing part of the eye with a normal camera using visible-wavelength images rather than near infrared images has provoked research interest. This technique involves sclera template rotation alignment and a distance scaling method to minimize the error rates when noisy eye images are captured at-a-distance and on-the move. The proposed system is tested and results are generated by extensive simulation in java.

Symbolic Representation Based Approach for Object Identification in Infrared Images

2017 ◽  
Vol 9 (3) ◽  
pp. 235-240
Author(s):  
Shimoga N. B. Bhushan ◽  
. Harisha ◽  
Arti Pawar ◽  
. Vidyalakshmi
Keyword(s):  
Symbolic Representation ◽  
Object Identification ◽  
Infrared Images

Deep Near-Infrared Images and ISOCAM Observations of Chamaeleon I North

1999 ◽  
Vol 117 (1) ◽  
pp. 439-445 ◽  
Author(s):  
P. Persi ◽  
A. R. Marenzi ◽  
A. A. Kaas ◽  
G. Olofsson ◽  
L. Nordh ◽  
...  
Keyword(s):  
Near Infrared ◽  
Infrared Images

scholarly journals PCANet Based Digital Recognition for Electrical Equipment Infrared Images

2018 ◽  
Vol 1098 ◽  
pp. 012033
Author(s):  
Ying Lin ◽  
Jiafeng Qin ◽  
Weiwei Zhang ◽  
Hao Zhang ◽  
Demeng Bai ◽  
...  
Keyword(s):  
Electrical Equipment ◽  
Infrared Images

Magnetically Induced Depolarization of Microwave Scattering from a Laser-Generated Plasma

2019 ◽  
Vol 12 (3) ◽  
Author(s):  
C.A. Galea ◽  
M.N. Shneider ◽  
A. Dogariu ◽  
R.B. Miles
Keyword(s):  
Microwave Scattering

Intrusion detection of railway clearance from infrared images using generative adversarial networks

2020 ◽  
pp. 1-13
Author(s):  
Yundong Li ◽  
Yi Liu ◽  
Han Dong ◽  
Wei Hu ◽  
Chen Lin
Keyword(s):  
Intrusion Detection ◽  
Synthetic Data ◽  
Generative Adversarial Networks ◽  
Generation Model ◽  
Single Shot ◽  
Data Generation ◽  
Infrared Images ◽  
Adversarial Networks ◽  
Training Samples ◽  
Rgb Images

The intrusion detection of railway clearance is crucial for avoiding railway accidents caused by the invasion of abnormal objects, such as pedestrians, falling rocks, and animals. However, detecting intrusions using deep learning methods from infrared images captured at night remains a challenging task because of the lack of sufficient training samples. To address this issue, a transfer strategy that migrates daytime RGB images to the nighttime style of infrared images is proposed in this study. The proposed method consists of two stages. In the first stage, a data generation model is trained on the basis of generative adversarial networks using RGB images and a small number of infrared images, and then, synthetic samples are generated using a well-trained model. In the second stage, a single shot multibox detector (SSD) model is trained using synthetic data and utilized to detect abnormal objects from infrared images at nighttime. To validate the effectiveness of the proposed method, two groups of experiments, namely, railway and non-railway scenes, are conducted. Experimental results demonstrate the effectiveness of the proposed method, and an improvement of 17.8% is achieved for object detection at nighttime.

Sign in / Sign up

Export Citation Format

Share Document