Extraction of marine debris in the Sea of Japan using satellite images

T. Aoyama
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引用次数: 5

Abstract

It is important to understand the flow of marine debris for environmental research purposes, since marine debris causes extensive damage to coastal environments. Due to its small size, most marine debris in the ocean cannot be confirmed directly, even when a high-spatial-resolution satellite image is used. Thus, to extract candidate pixels containing possible marine debris, pixels with spectra that differ from those of the surrounding ocean are identified. As a first step towards identifying and monitoring marine debris, a method using spectral angle mapper (SAM) algorithm in n-dimensional space corresponding to the satellite spectral bands was previously proposed. In this paper, a method to discriminate marine debris from white-crested waves is proposed using the distance from the origin in an n-dimensional scatter diagram. Moreover, it is also discussed that the relationship between the distance from the coast and the amount of marine debris depends on the locations of the sea currents and neighbouring rivers.
利用卫星图像提取日本海的海洋垃圾
了解海洋垃圾的流动对环境研究很重要,因为海洋垃圾对沿海环境造成了广泛的破坏。由于体积小,即使使用高空间分辨率的卫星图像,海洋中的大多数海洋碎片也无法直接确认。因此,为了提取包含可能的海洋垃圾的候选像素,需要识别与周围海洋光谱不同的像素。作为识别和监测海洋垃圾的第一步,先前提出了一种在卫星光谱波段对应的n维空间中使用光谱角映射器(SAM)算法的方法。本文提出了一种利用n维散点图中距离原点的距离来区分海洋垃圾和白浪的方法。此外,还讨论了离海岸的距离与海洋垃圾数量之间的关系取决于海流和邻近河流的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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