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A Reefs Extraction Method of Ocean Remote Sensing Image Based on Water Characteristics Index

机译:基于水特征指数的海洋遥感影像礁石提取方法

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摘要

Reefs and coastal zone are closely link of marine and land system. Research on the features and changes of the related ecological system and the surrounding environment has important significance. The environment of medium and small reefs and reef groups is uncommon, and it plays an important role in resource development and marine safety. The Worldview-II satellite remote sensing image is analyzed and processed. In view of the linear correlated redundant information of different bands, the principal component analysis transform is used to reduce the redundant data, and the effective band could be extracted. A reefs edge extraction algorithm based on normalization water characteristics index is proposed in this paper. Using this method, the radiation is greatly weakened for the non-water features, and enhanced the radiation differences between the seawater and other objects. In order to obtain the segmentation threshold, the maximum between-cluster variance algorithm is used. Through the edge superposition between reefs and seawater, the reefs edge is extracted from the Worldview-II satellite remote sensing image. As for the computational complexity and extraction precision, this method is better than traditional algorithms.
机译:珊瑚礁和沿海地区是海洋和陆地系统的紧密联系。研究相关生态系统和周围环境的特征和变化具有重要意义。中小型礁石和礁石群体的环境并不常见,在资源开发和海洋安全中起着重要作用。对Worldview-II卫星遥感图像进行了分析和处理。针对不同频段的线性相关冗余信息,采用主成分分析变换减少冗余数据,提取出有效频段。提出了一种基于归一化水质指标的礁石边缘提取算法。使用此方法,对于非水特征,辐射被大大削弱,并增加了海水与其他物体之间的辐射差异。为了获得分割阈值,使用最大簇间方差算法。通过礁石和海水之间的边缘叠加,从Worldview-II卫星遥感图像中提取礁石边缘。在计算复杂度和提取精度方面,该方法优于传统算法。

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