Focal Plane Processing Techniques For Background Clutter Suppression And Target Detection

1979 ◽  
Author(s):  
T. F. Tao ◽  
D. Hilmers ◽  
B. Evenor ◽  
D. Bar Yehoshua
Keyword(s):  
Target Detection ◽  
Focal Plane ◽  
Clutter Suppression ◽  
Background Clutter ◽  
Processing Techniques ◽  
Focal Plane Processing

On-focal-plane processing techniques for infrared detectors for hyperspectral applications

1998 ◽  
Author(s):  
Arnold Daniels ◽  
Charles S. Kaufman ◽  
Mark A. Goodnough ◽  
John A. Stineman
Keyword(s):  
Focal Plane ◽  
Infrared Detectors ◽  
Processing Techniques ◽  
Focal Plane Processing

Performance Analysis Of Mosaic Focal Plane Processing

1981 ◽  
Author(s):  
J. N. Patel ◽  
W. B. Tucker ◽  
S. A. Wolfenbarger
Keyword(s):  
Performance Analysis ◽  
Focal Plane ◽  
Focal Plane Processing

scholarly journals Extremely Robust Remote-Target Detection Based on Carbon Dioxide-Double Spikes in Midwave Spectral Imaging

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2896 ◽  
Author(s):  
Sungho Kim ◽  
Jungsub Shin ◽  
Joonmo Ahn ◽  
Sunho Kim
Keyword(s):  
Carbon Dioxide ◽  
Fourier Transform ◽  
Target Detection ◽  
Emission Band ◽  
Co2 Emission ◽  
Spectral Feature ◽  
Spectral Imaging ◽  
Joint Analysis ◽  
Spectral Bands ◽  
Background Clutter

Infrared ship-target detection for sea surveillance from the coast is very challenging because of strong background clutter, such as cloud and sea glint. Conventional approaches utilize either spatial or temporal information to reduce false positives. This paper proposes a completely different approach, called carbon dioxide-double spike (CO2-DS) detection in midwave spectral imaging. The proposed CO2-DS is based on the spectral feature where a hot CO2 emission band is broader than that which is absorbed by normal atmospheric CO2, which generates CO2-double spikes. A directional-mean subtraction filter (D-MSF) detects each CO2 spike, and final targets are detected by joint analysis of both types of detection. The most important property of CO2-DS detection is that it generates an extremely low number of false positive caused by background clutter. Only the hot CO2 spike of a ship plume can penetrate atmosphere, and furthermore, there are only ship CO2 plume signatures in the double spikes of different spectral bands. Experimental results using midwave Fourier transform infrared (FTIR) in a remote sea environment validate the extreme robustness of the proposed ship-target detection.

Through Wall Stationary Human Target Detection and Localization Using OFDM-UWB Radar

Frequenz ◽  
2016 ◽  
Vol 70 (5-6) ◽  
Author(s):  
Zohra Slimane ◽  
Abdelmalek Abdelhafid
Keyword(s):  
Target Detection ◽  
Wide Band ◽  
Human Being ◽  
Concrete Wall ◽  
Uwb Radar ◽  
Spectrum Density ◽  
Background Clutter ◽  
Detection And Localization ◽  
Minimum System ◽  
System Operating

AbstractThis paper focuses on through wall stationary human target detection and localization using an OFDM based Ultra-Wide Band radar (OFDM-UWB). Our investigations relate to a monostatic UWB radar operating in the band [1.99–3] GHz at central frequency 2.5 GHz and emitting a power of –22 dBm, meeting FCC UWB spectrum density requirements. The detection of a human being is possible due to respiratory movements of the chest. Using the short-term Fourier transform, along with the optimal filtering and an averaging technique for background clutter suppression, interesting information could be extracted from the recorded waveforms about the presence and position of a human being behind a 20-cm-thick concrete wall. The results of the experimental simulations under Matlab/simulink are then presented. A maximum range of 4 m was found to be possible with a minimum system operating SNR of 5 dB.

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