Ship Detectability of Satellite-Based Radio Frequency Data in a Congested Area

This study examined the association between radio frequency (RF) data and ships in a congested area, with a focus on the Busan Port region in South Korea. RF datasets consisting of one L-band, four S-band, and two X-band frequencies were used in conjunction with Automatic Identification System (AIS) and Small Fishing Vessel Tracking System (V-Pass) data collected during the corresponding RF data periods. A distance-based association approach was applied, and the RF–ship association ratio (RSAR) was estimated as the ratio between the number of AIS-reported vessels associated with RF data and the total number of AIS-reported vessels present within the time period. The results indicate low overall RSAR in the congested region, with 6.5% for L-band, 1.7–24.6% for S-band, and 7.7–17.2% for X-band. Under stable high-pressure conditions (101.4–102.2 kPa) and light breeze conditions (0.9–3.6 m/s), atmospheric impacts on the RSAR can be considered minimal. Moreover, to indicate the relationship between the acquired RF signal and vessel congestion, a congestion index (CI) was derived from AIS and V-Pass data using a spatial grid-based method. The CI density maps within the congested region indicate that the acquired RF signals exist dominantly in low-congested areas.

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Publication Details

Journal
Remote Sensing
Published
2026-02-01
DOI
https://doi.org/10.3390/rs18030451
Primary Topic
Precipitation Measurement and Analysis
Type
article
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article

Ship Detectability of Satellite-Based Radio Frequency Data in a Congested Area

Sree Juwel Kumar Chowdhury, Chan-Su Yang
Remote Sensing
Precipitation Measurement and Analysis
article

Ship Detectability of Satellite-Based Radio Frequency Data in a Congested Area

Sree Juwel Kumar Chowdhury, Chan-Su Yang
article en

Abstract

This study examined the association between radio frequency (RF) data and ships in a congested area, with a focus on the Busan Port region in South Korea. RF datasets consisting of one L-band, four S-band, and two X-band frequencies were used in conjunction with Automatic Identification System (AIS) and Small Fishing Vessel Tracking System (V-Pass) data collected during the corresponding RF data periods. A distance-based association approach was applied, and the RF–ship association ratio (RSAR) was estimated as the ratio between the number of AIS-reported vessels associated with RF data and the total number of AIS-reported vessels present within the time period. The results indicate low overall RSAR in the congested region, with 6.5% for L-band, 1.7–24.6% for S-band, and 7.7–17.2% for X-band. Under stable high-pressure conditions (101.4–102.2 kPa) and light breeze conditions (0.9–3.6 m/s), atmospheric impacts on the RSAR can be considered minimal. Moreover, to indicate the relationship between the acquired RF signal and vessel congestion, a congestion index (CI) was derived from AIS and V-Pass data using a spatial grid-based method. The CI density maps within the congested region indicate that the acquired RF signals exist dominantly in low-congested areas.

Remote SensingVol. 18(3)
Korea Institute of Ocean Science and Technology (KR), Korea Maritime and Ocean University (KR), Korea University of Science and Technology (KR)
Life below water
Openalex Percentile: Top 78%
Precipitation Measurement and Analysis
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Ship Detectability of Satellite-Based Radio Frequency Data in a Congested Area — Sree Juwel Kumar Chowdhury, Chan-Su Yang · Remote Sensing (2026) | TGRS Research Map | TGRS