2022
DOI: 10.3390/math10162829
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Abstract: The target detection ability of an infrared small target detection (ISTD) system is advantageous in many applications. The highly varied nature of the background image and small target characteristics make the detection process extremely difficult. To address this issue, this study proposes an infrared patch model system using non-convex (IPNCWNNM) weighted nuclear norm minimization (WNNM) and robust principal component analysis (RPCA). As observed in the most advanced methods of infrared patch images (IPI), t… Show more

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Cited by 12 publications
(4 citation statements)
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“…Every buffalo forms a path by finding different test cases to reveal faults until each of the faults is uncovered or the termination criteria are reached [77][78][79][80][81]. The buffalo leading to a path having minimum execution time eventually leads to the global best path, if it is found better [82][83][84][85][86][87][88][89][90]. The overall best path found at end of all the iterations gives the optimized test suite.…”
Section: Explanation With Examplementioning
confidence: 99%
“…Every buffalo forms a path by finding different test cases to reveal faults until each of the faults is uncovered or the termination criteria are reached [77][78][79][80][81]. The buffalo leading to a path having minimum execution time eventually leads to the global best path, if it is found better [82][83][84][85][86][87][88][89][90]. The overall best path found at end of all the iterations gives the optimized test suite.…”
Section: Explanation With Examplementioning
confidence: 99%
“…Model performance was quantified by evaluating precision, recall, F1-score, and accuracy. The implementation was performed with the help of the Scikit-Learn library [63][64][65][66]. 2 shows the comparison of results of the multi-tier and single-tier models.…”
Section: Implementation Of Multi-tier Modelmentioning
confidence: 99%
“…The color transfer method was applied to the cropped images, which consisted of only one WBC each. The size of the template image is equal to the size of input images with a single WBC [46][47][48][49][50][51][52]. The selected template image is shown in Fig.…”
Section: Feature Extraction and Classification For Cropped Imagesmentioning
confidence: 99%