Abstract
<p class="Abstract">During the recent years, maritime surveillance has been
 receiving a growing interest. Ship detection and identification are parts of
 maritime surveillance in order to dealing with illegal fishery, maritime
 traffic, sea border activity, or oil spill detection and monitoring. Nowadays,
 Synthetic Aperture Radar (SAR) as one of active remote sensing technology
 provide signals to penetrate cloud, can be advantage to be used in tropical
 region with the intention to monitor sea objects on the sea surface from the
 space. The availability of Sentinel-1 as SAR imaging mission, providing
 continuous all-weather, day-and-night imagery, makes it ideal for precise
 cueing and location of ship activities at sea. Utilization of CFAR (Constant
 False Alarm Rate) algorithm provided by SNAP (Sentinel Application Platform)
 software from ESA show rapid detection of ship in the study areas (Madura
 Strait and Lamong Gulf). Compared with manual ship extraction method, it gives
 sufficient results.<o:p></o:p></p>
Highlights
Increasing activity that occur in these ports can increase ship volume around Madura Strait and Lamong Gulf
Ship detection is part of maritime surveillance that examined in this study using Sentinel 1 Interferometric Wide Swath (IW) Ground Range Detected (GRD) Synthetic Aperture Radar (SAR) data
Sentinel1 uses C-band SAR are generally not hindered by atmospheric effects and are capable pass through tropical clouds and rain showers, identification ship on sea surface will be easier
Summary
The use of remote sensing technology is become advantageous to support monitoring and surveillance of sea and coastal areas and to prevent security threats to ports facilities. Synthetic Aperture Radar (SAR) as one of active remote sensing technology, provide signals to penetrate cloud, which can be advantage to be used in tropical region with the intention to monitor sea objects on the sea surface from the space [1]. It can detect breaking waves region and surf zone in coastal areas [4].
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