Radar Image Modeling and Processing for Real-Time RF Simulation

1978 ◽  
Author(s):  
Anil K. Jain ◽  
Jaswant R. Jain
Keyword(s):  
Real Time ◽  
Radar Image ◽  
Image Modeling

Compact acousto-optic system for real-time synthetic aperture radar image formation

1998 ◽  
Author(s):  
Michael W. Haney ◽  
Marc P. Christensen ◽  
Robert R. Michael, Jr. ◽  
Peter A. Wasilousky ◽  
Dennis R. Pape
Keyword(s):  
Synthetic Aperture Radar ◽  
Real Time ◽  
Image Formation ◽  
Synthetic Aperture Radar Image ◽  
Radar Image ◽  
Synthetic Aperture ◽  
Optic System ◽  
Aperture Radar

Radar image modeling and recognition

2020 ◽  
Author(s):  
Nikolay L. Kazanskiy ◽  
Vladimir A. Fursov ◽  
Evgeny Minaev ◽  
Denis Zherdev
Keyword(s):  
Radar Image ◽  
Image Modeling

scholarly journals Oil Spill Monitoring of Shipborne Radar Image Features Using SVM and Local Adaptive Threshold

Algorithms ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 69 ◽  
Author(s):  
Jin Xu ◽  
Haixia Wang ◽  
Can Cui ◽  
Baigang Zhao ◽  
Bo Li
Keyword(s):  
Real Time ◽  
Oil Spill ◽  
Large Scale ◽  
Oil Spills ◽  
Adaptive Threshold ◽  
Image Features ◽  
Radar Image ◽  
Support Vector ◽  
Effective Wave ◽  
Local Adaptive Threshold

In the case of marine accidents, monitoring marine oil spills can provide an important basis for identifying liabilities and assessing the damage. Shipborne radar can ensure large-scale, real-time monitoring, in all weather, with high-resolution. It therefore has the potential for broad applications in oil spill monitoring. Considering the original gray-scale image from the shipborne radar acquired in the case of the Dalian 7.16 oil spill accident, a complete oil spill detection method is proposed. Firstly, the co-frequency interferences and speckles in the original image are eliminated by preprocessing. Secondly, the wave information is classified using a support vector machine (SVM), and the effective wave monitoring area is generated according to the gray distribution matrix. Finally, oil spills are detected by a local adaptive threshold and displayed on an electronic chart based on geographic information system (GIS). The results show that the SVM can extract the effective wave information from the original shipborne radar image, and the local adaptive threshold method has strong applicability for oil film segmentation. This method can provide a technical basis for real-time cleaning and liability determination in oil spill accidents.

scholarly journals Development of the Real-time Radar Image Processing for a Horizontal Drilling Machine

2005 ◽  
Vol 58 (5) ◽  
pp. 475-490 ◽  
Author(s):  
Takaharu Nakauchi ◽  
Toshimitsu Nozu ◽  
Morio Suzuki ◽  
Shin'ichi Uesaka ◽  
Ikuo Arai
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Radar Image ◽  
Drilling Machine ◽  
Horizontal Drilling ◽  
The Real

Some Recent Results in Quiescent Prominence Spectrometry

1979 ◽  
Vol 44 ◽  
pp. 41-47
Author(s):  
Donald A. Landman
Keyword(s):  
Real Time ◽  
Computer System ◽  
Spectral Response ◽  
Absolute Intensity ◽  
Solar Observatory ◽  
Target Size ◽  
Small Target ◽  
Signal Averaging ◽  
Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

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