Identification of an oil spill is additionally essential to evaluate the potential spread and float from the source to the adjacent coastal terrains.In such manner,usage of Synthetic Aperture RADAR(SAR)information for...Identification of an oil spill is additionally essential to evaluate the potential spread and float from the source to the adjacent coastal terrains.In such manner,usage of Synthetic Aperture RADAR(SAR)information for the recognition and checking of oil spills has gotten extensive consideration as of late,because of their wide zone inclusion,day-night and all-weather capabilities.The present examination studies an oil spill occurred in the Al Khafji region by applying Sentinel 1 SAR-C images.Al Khafji is on the borderline between Saudi Arabia and Kuwait in the Persian Gulf and it is detected as an unbiased zone.Al Khafji region can possibly deliver in excess of 7472.403 m³barrels of oil for every day(m³/d).Approaches dependent on multi-sensor satellite images examination have been produced for distinguishing oil spills from referred to common leaks just as oil slick procedures.In this paper,one of these techniques is associated with Sentinel 1 images of a known region of natural oil leakage and of an ongoing oil slick incident in Al Khafji zone.The Synthetic Aperture Radar(SAR)is perceived as the most significant remote sensing apparatus for the ocean and ocean waters oil slick examination,recording,documentation and propagation.Specifically,this paper examines oil spills recognition in the Persian Gulf surveyed by utilizing Sentinel-1(SAR-C)imageries.Results demonstrated the significance of the VV polarization of the Sentinel-1 for recognizing oil-spills just as the diminished utility of the VH polarization in this sole circumstance.展开更多
Autonomous underwater vehicles are at present being used for scientific,commercial and military submerged applications.In this paper,a system has been proposed which can be used underwater as remotely operated underwa...Autonomous underwater vehicles are at present being used for scientific,commercial and military submerged applications.In this paper,a system has been proposed which can be used underwater as remotely operated underwater vehicle for submerged survey for different purposes.These systems require self-sufficient direction and control frameworks so as to perform submerged assignments.Displaying,framework identification and control of these vehicles are as yet real dynamic zones of innovative work.This theory is worried about the plan and improvement of an Autonomous Underwater Vehicle(AUV)specifically proposed for passage into global submerged vehicle rivalries.The theory comprises of two stages;the first includes the plan and development of the vehicle while the subsequent stage is worried about the demonstrating and framework identification of the vehicle,just as the reproduction of a control system.The structure and advancement of the vehicle comprised of actualizing a mechanical and electrical framework,just as the reconciliation of subsystems.The framework identification of the vehicle parameters comprised of utilizing locally available sensors to perform static and dynamic tests.Least squares estimation was utilized to gauge the parameters from the pre-researched data obtained.展开更多
文摘Identification of an oil spill is additionally essential to evaluate the potential spread and float from the source to the adjacent coastal terrains.In such manner,usage of Synthetic Aperture RADAR(SAR)information for the recognition and checking of oil spills has gotten extensive consideration as of late,because of their wide zone inclusion,day-night and all-weather capabilities.The present examination studies an oil spill occurred in the Al Khafji region by applying Sentinel 1 SAR-C images.Al Khafji is on the borderline between Saudi Arabia and Kuwait in the Persian Gulf and it is detected as an unbiased zone.Al Khafji region can possibly deliver in excess of 7472.403 m³barrels of oil for every day(m³/d).Approaches dependent on multi-sensor satellite images examination have been produced for distinguishing oil spills from referred to common leaks just as oil slick procedures.In this paper,one of these techniques is associated with Sentinel 1 images of a known region of natural oil leakage and of an ongoing oil slick incident in Al Khafji zone.The Synthetic Aperture Radar(SAR)is perceived as the most significant remote sensing apparatus for the ocean and ocean waters oil slick examination,recording,documentation and propagation.Specifically,this paper examines oil spills recognition in the Persian Gulf surveyed by utilizing Sentinel-1(SAR-C)imageries.Results demonstrated the significance of the VV polarization of the Sentinel-1 for recognizing oil-spills just as the diminished utility of the VH polarization in this sole circumstance.
文摘Autonomous underwater vehicles are at present being used for scientific,commercial and military submerged applications.In this paper,a system has been proposed which can be used underwater as remotely operated underwater vehicle for submerged survey for different purposes.These systems require self-sufficient direction and control frameworks so as to perform submerged assignments.Displaying,framework identification and control of these vehicles are as yet real dynamic zones of innovative work.This theory is worried about the plan and improvement of an Autonomous Underwater Vehicle(AUV)specifically proposed for passage into global submerged vehicle rivalries.The theory comprises of two stages;the first includes the plan and development of the vehicle while the subsequent stage is worried about the demonstrating and framework identification of the vehicle,just as the reproduction of a control system.The structure and advancement of the vehicle comprised of actualizing a mechanical and electrical framework,just as the reconciliation of subsystems.The framework identification of the vehicle parameters comprised of utilizing locally available sensors to perform static and dynamic tests.Least squares estimation was utilized to gauge the parameters from the pre-researched data obtained.