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Visual Tracking by Local Superpixel Matching with Markov Random Field Read chapter Read first chapter

2016 | OriginalPaper | Chapter

A Sea-Land Segmentation Algorithm Based on Sea Surface Analysis

Authors : Guichi Liu, Enqing Chen, Lin Qi, Yun Tie, Deyin Liu

Published in: Advances in Multimedia Information Processing - PCM 2016

Publisher: Springer International Publishing

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Abstract

Ship detection from optical remote sensing imagery is an important and challenging task. Sea-land segmentation is a key step for ship detection. Due to the complex and various sea surfaces caused by waves, illumination and shadows, traditional sea-land segmentation algorithms often misjudge between land and sea. Thus, a new segmentation scheme based on sea surface analysis is proposed in this paper. Then the adaptive threshold can be determined according to statistical analysis to different types of patches from the optical remote sensing images. Experimental results show that our algorithm has better performance compared to the traditional algorithms.

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Metadata
Title
A Sea-Land Segmentation Algorithm Based on Sea Surface Analysis
Authors
Guichi Liu
Enqing Chen
Lin Qi
Yun Tie
Deyin Liu
Copyright Year
2016
Book
Advances in Multimedia Information Processing - PCM 2016

Print ISBN: 978-3-319-48889-9

Electronic ISBN: 978-3-319-48890-5

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-48890-5_47