Analysis of the objects images on the sea using Dempster-Shafer theory

Bobkowska Katarzyna
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引用次数: 12

Abstract

The paper presents the concept of using aerial and satellite imagery or images coming from the marine radar to identify and track vessels at sea. The acquired data were subjected to a highly advanced image analysis. The development of remote sensing techniques allows to gain a huge amount of data. These data are useful information source however usually we have to use different data mining methods to gain interested information. In this paper there is described a special approach based on specific approach coming from advanced image analysis method created for the purpose of tracking objects. Unfortunately, object recognition using image analysis involves some level of uncertainty. Therefore, in the final identification process we have to take into account the belief and the plausibility functions.
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用登普斯特-谢弗理论分析海上目标图像
本文提出了利用航空和卫星图像或来自海洋雷达的图像来识别和跟踪海上船只的概念。采集的数据进行了高度先进的图像分析。遥感技术的发展使我们能够获得大量的数据。这些数据是有用的信息源,但通常我们必须使用不同的数据挖掘方法来获取感兴趣的信息。本文描述了一种基于先进的图像分析方法中为跟踪目标而产生的特定方法的特殊方法。不幸的是,使用图像分析进行对象识别涉及到一定程度的不确定性。因此,在最终的识别过程中,我们必须考虑到信念和似是而非的函数。
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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Doppler spectrum segmentation of radar sea clutter by mean-shift and information geometry metric Carrier- and Doppler-tunable FPGA-based active reflector for radar calibration Experimental measurement of time difference of arrival Investigation on radar-based applications for mini-UAS and MAVs Analysis of the objects images on the sea using Dempster-Shafer theory
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