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Vessel classification in overhead satellite imagery using weighted 'bag of visual words'

机译：使用加权“视觉词袋”的高架卫星图像中的船只分类

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摘要

Vessel type classification in maritime imagery is a challenging problem and has applications to many military and surveillance applications. The ability to classify a vessel correctly varies significantly depending on its appearance which in turn is affected by external factors such as lighting or weather conditions, viewing geometry and sea state. The difficulty in classifying vessels also varies among different ship types as some types of vessels show more within-class variation than others. In our previous work, we showed that the "bag of visual words" (V-BoW) was an effective feature representation for this classification task in the maritime domain. The V-BoW feature representation is analogous to the "bag of words" (BoW) representation used in information retrieval (IR) application in text or natural language processing (NLP) domain. It has been shown in the textual IR applications that the performance of the BoW feature representation can be improved significantly by applying appropriate term-weighting such as log term frequency, inverse document frequency etc. Given the close correspondence between textual BoW (T-BoW) and V-BoW feature representations, we propose to apply several well-known term weighting schemes from the text IR domain on V-BoW feature representation to increase its ability to discriminate between ship types.
机译：海事图像中的船只类型分类是一个具有挑战性的问题，并已应用于许多军事和监视应用。正确分类船只的能力会因其外观的不同而有很大差异，而外观又会受到外部因素的影响，例如光照或天气状况，观察几何形状和海况。在不同类型的船舶上，对船舶进行分类的难度也有所不同，因为某些类型的船舶比其他船舶显示出更多的舱内差异。在我们以前的工作中，我们表明“视觉单词袋”（V-BoW）是此海事领域分类任务的有效特征表示。 V-BoW功能表示类似于在文本或自然语言处理（NLP）域中的信息检索（IR）应用程序中使用的“单词袋”（BoW）表示。在文本IR应用程序中已显示，通过应用适当的术语加权（例如对数术语频率，逆文档频率等），可以显着改善BoW特征表示的性能。给定文本BoW（T-BoW）之间的紧密对应关系和V-BoW特征表示，我们建议在V-BoW特征表示上应用来自文本IR域的几种众所周知的术语加权方案，以提高其区分船舶类型的能力。

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  • 来源
    《Automatic Target Recognition XXV》|2015年|947609.1-947609.7|共7页
  • 会议地点 Baltimore MD(US)
  • 作者

    Shibin Parameswaran; Katie Rainey;

  • 作者单位

    Space and Naval Warfare Systems Center Pacific 53560 Hull Street, San Diego, CA 92152-5001;

    Space and Naval Warfare Systems Center Pacific 53560 Hull Street, San Diego, CA 92152-5001;

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  • 正文语种 eng
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