2007
DOI: 10.1117/12.754019
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Ship detection and classification from overhead imagery

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Cited by 13 publications
(17 citation statements)
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“…In contrast, radar images can be interpreted independent from clouds or illumination. According to [9], this is one of the reasons why considerably fewer examinations are available for the detection and classification of ships in optical data in contrast to radar data. However, optical data also has its advantages: a comparison of methods for radar and optical data in [10] led to the result that the estimation of ship sizes was more precise in optical data.…”
Section: Development Of Ship Detection For Rapideyementioning
confidence: 96%
See 3 more Smart Citations
“…In contrast, radar images can be interpreted independent from clouds or illumination. According to [9], this is one of the reasons why considerably fewer examinations are available for the detection and classification of ships in optical data in contrast to radar data. However, optical data also has its advantages: a comparison of methods for radar and optical data in [10] led to the result that the estimation of ship sizes was more precise in optical data.…”
Section: Development Of Ship Detection For Rapideyementioning
confidence: 96%
“…For example, in [13] a method is described that combines images from different spectral regions which may not always be available. In [9] and [11] images are first characterized into "grey" or "black" images, and the detection is implemented based on image processing methods like thresholding, edge detection and dilation. The application of Genetic Algorithms and Neural Networks for ship characterization showed dissatisfactory results in [14].…”
Section: Development Of Ship Detection For Rapideyementioning
confidence: 99%
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“…[1][2][3] The FMV capability focuses on automatically detecting and tracking maritime targets (against a maritime background) in full-motion video; it is intended to be a video analysis tool for extracting meaningful data from FMV with minimal human supervision.…”
Section: Introductionmentioning
confidence: 99%