A non-cooperative long-range biometric image tracking and recognition (BITAR) method for maritime surveillance

2008 ◽  
Author(s):  
Xiaokun Li ◽  
Genshe Chen ◽  
Erik Blasch ◽  
Harold H. Szu ◽  
Thomas McKenna
Keyword(s):  
Long Range ◽  
Image Tracking ◽  
Maritime Surveillance ◽  
Tracking And Recognition

scholarly journals Novel Implementations of Clutter and Target Discrimination Using Threshold Skewness Method

2021 ◽  
Vol 38 (4) ◽  
pp. 1079-1085
Author(s):  
Thottempudi Pardhu ◽  
Vijay Kumar
Keyword(s):  
Long Range ◽  
Imaging Techniques ◽  
Research Work ◽  
Decomposition Technique ◽  
Tracking Method ◽  
Target Discrimination ◽  
Image Tracking ◽  
Single Value Decomposition ◽  
Value Decomposition ◽  
Wall Imaging

Now a day’s defence applications associated to novel, army and military war fields are required wall imaging discrimination. As of now many wall-imaging techniques are designed but cannot discriminate the target and clutter with accurate working. Therefore, a novel advance wall image tracking method is required for differentiate the clutter and human target. In this research work single value decomposition technique is used to estimate the range bin behind the wall target. In order to track the target and clutter single-value-decomposition (SVD) is not sufficient, so that along this SVD, threshold skewness (TS) method has been presented. Combination of SVD-TS giving the accurate long range-bin sensing and directed the human’s targets. SVD-TS method is a statistical scheme, which can realise the amplitude ranges through large number of range-bin scans. This technique improves the accuracy by 98.6%, skewness by 8%, and normalised power by 98.9%. These SVD-TS method is more efficient and compete with existed techniques.

scholarly journals Improved dehazing techniques for maritime surveillance image enhancement

2018 ◽  
Vol 15 (1) ◽  
pp. 53-70 ◽  
Author(s):  
Branka Stojanovic ◽  
Sasa Milicevic ◽  
Srdjan Stankovic
Keyword(s):  
Image Enhancement ◽  
Long Range ◽  
Imaging Systems ◽  
Test Results ◽  
Single Image ◽  
Image Dehazing ◽  
Maritime Surveillance ◽  
Human Interpretation ◽  
Special Case

The subjective quality of images (human interpretation) is very important in long-range imaging systems, where the presence of haze directly influences visibility of the scene, by reducing contrast and obscuring objects. Image enhancement techniques - dehazing techniques, are usually required in such systems. This paper compares the most significant single image dehazing approaches, proposes three additional enhancement steps in dehazing algorithms, compares performance of the algorithms and additional enhancement steps, and presents test results on maritime surveillance images, which represent one special case of long-range images.

Sign in / Sign up

Export Citation Format

Share Document