METHOD FOR SHIP DETECTION IN SYNTHETIC APERTURE RADAR IMAGERY BASED ON THE INTEGRATION OF IMAGE ENHANCEMENT AND ANALYSIS OF PIXEL VARIANCE

Title
METHOD FOR SHIP DETECTION IN SYNTHETIC APERTURE RADAR IMAGERY BASED ON THE INTEGRATION OF IMAGE ENHANCEMENT AND ANALYSIS OF PIXEL VARIANCE
Author(s)
정재훈; 양찬수
KIOST Author(s)
Yang, Chan Su(양찬수)
Publication Year
2016-04-20
Abstract
In this study, a novel method to detect ships in the SAR imagery by the integration of image enhancement and analysis of pixel variance is suggested. The method was devised for the use on a specific module called ‘SAR-module’ which has been designed to provide a near-real-time ship inspection and detection using SAR images over a region of interest. For experiments, RADARSAT-2 HV data covering Ieodo ocean area of Korea is used. This work evaluates the level of enhancement using signal-to-noise ratio (SNR) and confirms that the proposed method significantly improved the SNR for all test area. This implies that the suggested enhancement method can be fully used to improve ship detection performance when integrating ship detection method based on analysis of pixel variance. We also confirm the potential of the method using the ship detection results. Overall, this work demonstrates the potential of the suggested method as an automatic ship detection method using SAR images for a near-real-time ocean surveillance.en designed to provide a near-real-time ship inspection and detection using SAR images over a region of interest. For experiments, RADARSAT-2 HV data covering Ieodo ocean area of Korea is used. This work evaluates the level of enhancement using signal-to-noise ratio (SNR) and confirms that the proposed method significantly improved the SNR for all test area. This implies that the suggested enhancement method can be fully used to improve ship detection performance when integrating ship detection method based on analysis of pixel variance. We also confirm the potential of the method using the ship detection results. Overall, this work demonstrates the potential of the suggested method as an automatic ship detection method using SAR images for a near-real-time ocean surveillance.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/24902
Bibliographic Citation
International Symposium on Remote Sensing, pp.1, 2016
Publisher
Korea
Type
Conference
Language
English
Publisher
Korea
Related Researcher
Research Interests

Satellite Oceanography,Marine Safety & Security,Remote Sensing,위성해양학,해양 안전 및 보안,원격탐사

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