Adaptive Radar Clutter Suppression Based on Real Data

2006 ◽  
Author(s):  
Song Jie ◽  
He You ◽  
Tang Xiao-ming
Keyword(s):  
Real Data ◽  
Clutter Suppression ◽  
Radar Clutter ◽  
Adaptive Radar

Runway foreign object detection using RGB

2015 ◽  
Vol 119 (1212) ◽  
pp. 229-243
Author(s):  
W. Chen
Keyword(s):  
Background Subtraction ◽  
Detection Probability ◽  
Real Data ◽  
Background Model ◽  
Clutter Suppression ◽  
Foreign Object ◽  
Detection Scheme ◽  
The Past ◽  
Innovative Techniques ◽  
Better Than

AbstractThis paper presents an improved algorithm for foreign object debris (FOD) detection on the runway with several innovative techniques. The detection scheme incorporates four steps of geometric adjustment, background subtraction, clutter suppression and camouflage elimination. After geometric adjustment, the background model is built for each pixel with a set of RGB colour values taken in the past at the same location or in the neighborhood in the step of background subtraction. The background model samples are substituted randomly with an unfixed update period. Furthermore, the steps of clutter suppression and camouflage elimination are added to modify the segmentation map after background subtraction in order to increase the detection probability and decrease the false alarm rate. The overall algorithm is applied to the test data and real data on the runway. The results show that the RGB-based algorithm performs better than the classical gray-based techniques.

scholarly journals Low-Altitude and Slow-Speed Small Target Detection Based on Spectrum Zoom Processing

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Xuwang Zhang ◽  
Songtao Lu ◽  
Jinping Sun ◽  
Wei Shangguan
Keyword(s):  
Target Detection ◽  
Doppler Frequency ◽  
Real Data ◽  
Detection Algorithm ◽  
Clutter Suppression ◽  
Slow Speed ◽  
Small Target Detection ◽  
Ground Clutter ◽  
Radar Systems ◽  
Low Altitude

This paper proposes a spectrum zoom processing based target detection algorithm for detecting the weak echo of low-altitude and slow-speed small (LSS) targets in heavy ground clutter environments, which can be used to retrofit the existing radar systems. With the existing range-Doppler frequency images, the proposed method firstly concatenates the data from the same Doppler frequency slot of different images and then applies the spectrum zoom processing. After performing the clutter suppression, the target detection can be finally implemented. Through the theoretical analysis and real data verification, it is shown that the proposed algorithm can obtain a preferable spectrum zoom result and improve the signal-to-clutter ratio (SCR) with a very low computational load.

scholarly journals Artificial intelligence techniques for small boats detection in radar clutter. Real data validation

2018 ◽  
Vol 67 ◽  
pp. 296-308 ◽  
Author(s):  
Nerea del-Rey-Maestre ◽  
David Mata-Moya ◽  
María-Pilar Jarabo-Amores ◽  
Pedro-Jose Gomez-del-Hoyo ◽  
Jose-Luis Barcena-Humanes
Keyword(s):  
Artificial Intelligence ◽  
Real Data ◽  
Data Validation ◽  
Radar Clutter ◽  
Artificial Intelligence Techniques
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