2021
DOI: 10.3390/jmse9121408
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A Review of Methods for Ship Detection with Electro-Optical Images in Marine Environments

Abstract: The ocean connects all continents and is an important space for human activities. Ship detection with electro-optical images has shown great potential due to the abundant imaging spectrum and, hence, strongly supports human activities in the ocean. A suitable imaging spectrum can obtain effective images in complex marine environments, which is the premise of ship detection. This paper provides an overview of ship detection methods with electro-optical images in marine environments. Ship detection methods with … Show more

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Cited by 20 publications
(7 citation statements)
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“…Being a non-cooperative source, it does not rely on the vessels themselves for receiving data. Additionally, since such data are collected by satellites, global coverage can be considered a possibility [43,44]. Of course, as in all cases, relying solely on satellite imagery for monitoring an area comes with its own disadvantages.…”
Section: Satellite Imagesmentioning
confidence: 99%
See 1 more Smart Citation
“…Being a non-cooperative source, it does not rely on the vessels themselves for receiving data. Additionally, since such data are collected by satellites, global coverage can be considered a possibility [43,44]. Of course, as in all cases, relying solely on satellite imagery for monitoring an area comes with its own disadvantages.…”
Section: Satellite Imagesmentioning
confidence: 99%
“…In the related literature, the problem of vessel detection in satellite imagery has been the focus of many academic and industrial research activities [43,44]. These activities can be classified into two broad categories:…”
Section: Satellite Imagesmentioning
confidence: 99%
“…Third, many works used the horizon to segment the image (into sea and non-sea region). In the same context, the horizon feature provides computational benefits to the object detection task by reducing the search region down to that around the horizon or by eliminating the sky pixels that will obviously not depict any obstacle [5,[18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]. Fourth, even after the detection of maritime objects on the image coordinates, some researchers used the horizon line to geo-localize surrounding objects and obstacles [36][37][38][39], i.e., find the distance in meters from the camera to the obstacle.…”
Section: Applications Of the Horizon Linementioning
confidence: 99%
“…The point cloud dataset produced by LiDAR is, however, limited in scope and lacking in detail, and the direct processing of the 3D point cloud necessitates powerful computational hardware [4]. While the optical image of the water surface has the benefits of being simple to collect, having rich color and texture information, and having established processing techniques [5], using optoelectronic equipment to obtain the intended appearance attributes is a crucial part of how USVs perceive their surroundings.…”
Section: Introductionmentioning
confidence: 99%