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Israni, Dippal
- A Roadmap to Mitigation Techniques:Bedrock for Atmospheric Turbulence
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Authors
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1 U and PU. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa, Gujarat, IN
2 U and P U. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa, Gujarat, IN
3 Department of Computer Engineering, DEPSTAR, CHARUSAT, Changa, Gujarat, IN
1 U and PU. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa, Gujarat, IN
2 U and P U. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa, Gujarat, IN
3 Department of Computer Engineering, DEPSTAR, CHARUSAT, Changa, Gujarat, IN
Source
International Journal of Advanced Networking and Applications, Vol 10, No 5 (2019), Pagination: 4007-4012Abstract
A momentous distortion of the scenes captured through long distances is a result of atmospheric turbulence due to changes is air refractive index. A series of different methods have been proposed to mitigate the consequences of atmospheric turbulence, enhancing the performance of imaging systems. This paper comprehends an overview to various techniques to alleviate these turbulence based on different approaches along with descriptions, working principles and challenges. The existing approaches for air turbulence are fusion based, optical flow based, phase based and latent image based techniques. This paper also describes standard dataset used for resolving turbulence mitigation issue. It also represents new ideas and innovations for mitigation of turbulence. Finally, the performance evaluation parameters such as MSE, PSNR, and SSIM are also discussed.Keywords
Atmospheric Turbulence, Image Fusion, Long Range Video Surveillance, Optical Flow.Full Text
References
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- A Novel Approach for Detection and Tracking of Vessels on Maritime Sequences
Abstract Views :163 |
PDF Views:0
Authors
Affiliations
1 U and P U. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa, Gujarat, IN
1 U and P U. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa, Gujarat, IN
Source
International Journal of Advanced Networking and Applications, Vol 11, No 2 (2019), Pagination: 4224-4230Abstract
Object detection, classification and tracking are prime components in all computer vision application. The research problem here is to detect, classify and track small objects (such as ships, boats etc.) on maritime scenario. Main purpose of object detection in maritime is to secure the country from various rocket launchers, sea side firearms. According to today’s scenario, security is very important in maritime applications. This paper showcases experiment results for object detection using Speeded Up Robust Features (SURF), Binary Robust Invariant Scalable Key points (BRISK), Lukas-kanade on standard dataset IPATCH PETS 2016. However, the state of the art methods limits in handle camouflage scenario. This paper proposes an adaptive Lucas-kanade approach that handles such scenarios. The proposed approach utilizes interaction of arithmetic mean and histogram equalization with optical flow (Lucas-Kanade) approach to resolve camouflage. Finally, the proposed approach is evaluated using standard parameters such as recall, precision and f1 score.The performance measures depict that the proposed approach outperforms state of the art trackers.Keywords
Object Detection, Ship Detection, Object Tracking, SURF, Image Segmentation, BRISK, Lucas-kanade.Full Text