Automatic removal of various annotations and marking from Maritime surveillance recorded video

2021 ◽  
Author(s):  
Issac Niwas Swamidoss ◽  
Abdulla Al Saadi Al Mansoori ◽  
Abdulrahman Almarzooqi ◽  
Slim Sayadi
Keyword(s):  
Maritime Surveillance ◽  
Automatic Removal

SOBINMF for Automatic Removal of Ocular Artifacts from the EEG

2015 ◽  
Vol 135 (8) ◽  
pp. 954-962
Author(s):  
Hirohisa Tsubakida ◽  
Yumie Ono ◽  
Atsushi Ishiyama
Keyword(s):  
Automatic Removal ◽  
Ocular Artifacts

scholarly journals Results of Laboratory Studies of the Automated Sorting System for Root and Onion Crops

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1257
Author(s):  
Alexey Dorokhov ◽  
Alexander Aksenov ◽  
Alexey Sibirev ◽  
Nikolay Sazonov ◽  
Maxim Mosyakov ◽  
...  
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Technological Parameters ◽  
Post Harvest ◽  
Manual Sorting ◽  
Sorting System ◽  
Working Bodies ◽  
Automatic Removal

The roller and sieve machines most commonly used in Russia for the post-harvest processing of root and tuber crops and onions have a number of disadvantages, the main one being a decrease in the quality of sorting due to the contamination of working bodies, which increases the quantity of losses during sorting and storage. To obtain high-quality competitive production, it is necessary to combine a number of technological operations during the sorting process, such as dividing the material into classes and fractions by quality and size, as well as identifying and removing damaged products. In order to improve the quality of sorting of root tubers and onions by size, it is necessary to ensure the development of an automatic control system for operating and technological parameters, the use of which will eliminate manual sorting on bulkhead tables in post-harvest processing. To fulfill these conditions, the developed automatic control system must have the ability to identify the material on the sorting surface, taking into account external damage and ensuring the automatic removal of impurities. In this study, the highest sorting accuracy of tubers (of more than 91%) was achieved with a forward speed of 1.2 m/s for the conveyor of the sorting table, with damage to 2.2% of the tubers, which meets the agrotechnical requirements for post-harvest processing. This feature distinguishes the developed device from similar ones.

scholarly journals Novel Features and PRPD Image Denoising Method for Improved Single-Source Partial Discharges Classification in On-Line Hydro-Generators

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3267
Author(s):  
Ramon C. F. Araújo ◽  
Rodrigo M. S. de Oliveira ◽  
Fernando S. Brasil ◽  
Fabrício J. B. Barros
Keyword(s):  
Image Denoising ◽  
Recognition Performance ◽  
Partial Discharge ◽  
Classification Performance ◽  
Partial Discharges ◽  
Denoising Method ◽  
Internal Parameters ◽  
On Line ◽  
Automatic Removal ◽  
The Impact

In this paper, a novel image denoising algorithm and novel input features are proposed. The algorithm is applied to phase-resolved partial discharge (PRPD) diagrams with a single dominant partial discharge (PD) source, preparing them for automatic artificial-intelligence-based classification. It was designed to mitigate several sources of distortions often observed in PRPDs obtained from fully operational hydroelectric generators. The capabilities of the denoising algorithm are the automatic removal of sparse noise and the suppression of non-dominant discharges, including those due to crosstalk. The input features are functions of PD distributions along amplitude and phase, which are calculated in a novel way to mitigate random effects inherent to PD measurements. The impact of the proposed contributions was statistically evaluated and compared to classification performance obtained using formerly published approaches. Higher recognition rates and reduced variances were obtained using the proposed methods, statistically outperforming autonomous classification techniques seen in earlier works. The values of the algorithm’s internal parameters are also validated by comparing the recognition performance obtained with different parameter combinations. All typical PD sources described in hydro-generators PD standards are considered and can be automatically detected.

scholarly journals Towards Automatic Recognition of Wakes Generated by Dark Vessels in Sentinel-1 Images

2021 ◽  
Vol 13 (10) ◽  
pp. 1955
Author(s):  
Maria Daniela Graziano ◽  
Alfredo Renga
Keyword(s):  
Surface Film ◽  
A Priori ◽  
Ground Truth ◽  
Detection Performance ◽  
Sar Images ◽  
Ground Truth Data ◽  
Low Wind Speed ◽  
Maritime Surveillance ◽  
Strong Transition ◽  
Detection Capabilities

The recognition of wakes generated by dark vessels is a tremendous and interesting challenge in the field of maritime surveillance by Synthetic Aperture Radar (SAR) images. The paper aims at assessing the detection performance in different scenarios by processing Sentinel-1 SAR images along with ground truth data. Results confirm that the Radon-based approach is an effective technique for wake-based detection of dark vessels, and they lead to a deeper understanding of the effects of different sea and wind conditions. In general, the best applicative scenario is a marine image characterized by homogeneous sea clutter; the presence of natural surface film or strong transition from low wind speed areas to more windy zones worsen the detection performance. Nonetheless, the proposed approach features dark vessel detection capabilities by identifying their wakes, without any a priori knowledge of their positions.

Autonomous Technology and Dynamic Obligations: Uncrewed Maritime Vehicles and the Regulation of Maritime Military Surveillance in the Exclusive Economic Zone

2021 ◽  
pp. 1-30
Author(s):  
Simon MCKENZIE
Keyword(s):  
Legal Regime ◽  
Coastal State ◽  
Maritime Surveillance ◽  
Legal Obligations ◽  
Legal Implications ◽  
Exclusive Economic Zones ◽  
Dynamic Quality ◽  
Economic Zones ◽  
Environmental Interests ◽  
Autonomous Technology

Abstract The development of uncrewed maritime vehicles [UMVs] has the potential to increase the scale of military maritime surveillance in the exclusive economic zones of foreign coastal states. This paper considers the legal implications of the expanded use of UMVs for this purpose. It shows how features of the legal regime—namely how its application depends on determining the intent of a vessel's operation (to distinguish marine scientific research from military surveillance), as well the obligation to have due regard—have a “dynamic” quality that will pose a challenge to UMVs operated by autonomous technology. The legal obligations will require equipping UMVs with the capacity to communicate something about their identity, the purpose of their mission, and to be able to have some capacity to be responsive to the economic and environmental interests of the coastal state.

Automatic removal of Cartesian feedback transmitter imperfections

1997 ◽  
Vol 144 (4) ◽  
pp. 281 ◽  
Author(s):  
M. Boloorian ◽  
J.P. McGeehan
Keyword(s):  
Automatic Removal
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