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- W1990726526 abstract "Ship detection is of great significance lowing to its wide applications. In most existing approaches, some predetectionmethods are often used to extract ship candidates since applying an accurate algorithm throughout the whole image willbe time-consuming and could even cause a lot of false alarms. In addition, most related work focuses on panchromaticimagery but only a little attention has been paid to color imagery. Color images contain more discriminative informationof ships than panchromatic images, so it will be easier to extract ships in color images. Further, more information alsomeans more potential to implement image enhancement techniques to solve the problem caused by poor illumination,which is very common in optical images.In this paper, with respect to optical color imagery, we propose a new predetection approach to extract ship candidatespreliminarily and rapidly using color information. Firstly, an image enhancement algorithm is employed to improve thequality of input images. Then, we regard the color image as a hyperspectral image and extract ship candidates using ahyperspectral algorithm based on spectral signature model. This hyperspectral algorithm, in essence, utilizes the colorinformation of ships, but the color information is processed in a hyperspectral manner. Unlike the commonly used colorsegment algorithms which focus on the thresholds in color space, this hyperspectral algorithm concerns more on thepatterns of color vectors.Experimental results on real dataset indicate that this image enhancement algorithm is quite suitable for remote sensingimages and its performance is better than histogram equalization based techniques. In addition, the hyperspectralalgorithm also shows good performance in extracting ship candidates in color images, especially for small ships. As awhole, large areas of background can be removed and most ships can be detected. Although some false alarms stillremain, the mount of false alarms is decreased greatly." @default.
- W1990726526 created "2016-06-24" @default.
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- W1990726526 date "2013-08-21" @default.
- W1990726526 modified "2023-09-23" @default.
- W1990726526 title "Ship candidates extraction for optical color imagery" @default.
- W1990726526 doi "https://doi.org/10.1117/12.2034926" @default.
- W1990726526 hasPublicationYear "2013" @default.
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