Preprint Article Version 1 This version is not peer-reviewed

Multi-Spectral Ship Detection using Optical, Hyperspectral, and Microwave SAR Remote Sensing for Sustainability of the Coastal Region

Version 1 : Received: 29 August 2018 / Approved: 29 August 2018 / Online: 29 August 2018 (14:32:09 CEST)

A peer-reviewed article of this Preprint also exists.

Park, K.-A.; Park, J.-J.; Jang, J.-C.; Lee, J.-H.; Oh, S.; Lee, M. Multi-Spectral Ship Detection Using Optical, Hyperspectral, and Microwave SAR Remote Sensing Data in Coastal Regions. Sustainability 2018, 10, 4064. Park, K.-A.; Park, J.-J.; Jang, J.-C.; Lee, J.-H.; Oh, S.; Lee, M. Multi-Spectral Ship Detection Using Optical, Hyperspectral, and Microwave SAR Remote Sensing Data in Coastal Regions. Sustainability 2018, 10, 4064.

Journal reference: Sustainability 2018, 10, 4064
DOI: 10.3390/su10114064

Abstract

As human activities of the countries in the East Asia have been remarkably expanding over recent decades, various problems in relation to ships, such as oil spill and many other coastal marine pollution, are continuously occurring in the coastal region. In order to conserve marine resources and prepare for possible ship accidents in advance, the need for efficient ship management is increasing over time. Multi-satellite, multi-sensor, multi-wavelength or multi-frequency observations make it possible to monitor a variety of vessels in the coastal region. This study presents the results of ship detection methodology applied to multi-spectral satellite images in the seas around Korean Peninsula based on optical, hyperspectral, and microwave remote sensing. To detect ships from hyperspectral images with a few hundreds of spectral channels, spectral matching algorithms are used to investigate similarity between the spectra and in-situ measurements. In the case of SAR (Synthetic Aperture Radar) images, the Constant False Alarm Rate (CFAR) algorithm is used to discriminate the vessels from backscattering coefficients of Sentinel-1 SAR and ALOS-2 PALSAR2 images. The present ship detection methods can be extensively utilized for optical, hyperspectral, and SAR images for comprehensive coastal management purposes toward perpetual sustainability in the future.

Subject Areas

ship detection; hyperspectral; SAR; optical remote sensing; sustainability; coastal region

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