Fishing boat detection using Sentinel-1 validated with VIIRS Data

• Published in: IOP conference series. Earth and environmental science Vol. 925; no. 1; pp. 12058 - 12064
• Main Authors: Marzuki, Marza Ihsan, Rahmania, Rinny, Kusumaningrum, Penny Dyah, Akhwady, Rudhy, Sianturi, Daud Saputra Amare, Firdaus, Yustisia, Sufyan, Agus, Hatori, Cecep Ahmad, Chandra, Handy
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.11.2021
• Subjects: Archipelagoes; Boats; Constant false alarm rate; Fishing; Fishing vessels; Imagery; Information processing; Luminous intensity; Marine environment; Marine technology; Object recognition; Pattern recognition; Sea vessels; Ships; Synthetic aperture radar; Vessels
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/925/1/012058

Abstract Detecting fishing boat activity is still a challenge for the biggest archipelago countries, such as Indonesia, to monitor the huge marine area. Space technology using sensors SAR to detect ships has been developed since 1985. However, the cost of using SAR images is one of the barriers to operational aspects, mainly for detecting fishing boats to deter IUU fishing activities. This research aims to evaluate the use of Sentinel 1-SAR imagery for identifying fishing boats from space. We used VIIRS data for validating the purposes. Both data sources could be accessed freely. The object detection process can be derived into three steps: pre-processing, object detection and object validation. We used the constant false alarm rate (CFAR) method to discriminate against objects at sea. To identify fishing vessels, we used the size of the vessels and the intensity of light captured by VIIRS. According to the findings, 21 boats were discovered using sentinel 1-SAR imagery and four boats using VIIRS data based on the the area of interest.