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Sensibility analysis of the Trace Transform on land coverage images

机译:土地覆盖图像上的迹线变换的敏感性分析

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Aerial or satellital images may be used to produce terrain coverage maps, which in time are a very useful and important tool for decision-making in several fields including biodiversity, telecommunications and natural disaster management. The Trace Transform method can be used to process these images. This method extracts features from the images by applying a series of functionals to produce a numeric representation that will be used for classification later on. This model depends on several factors in order to have an efficient operation, among them, the frequency parameters of the traces, classifier type and land coverage. Experimentation on feature extraction time and precision rate revealed that the frequency parameters, specially Δτ, and the classifier type can affect both of them.
机译:航空或卫星图像可用于生成地形覆盖图,及时地,这是在包括生物多样性,电信和自然灾害管理在内的多个领域进行决策的非常有用且重要的工具。跟踪转换方法可用于处理这些图像。该方法通过应用一系列功能来生成图像中的特征,以产生数字表示,稍后将用于分类。为了有效运行,该模型取决于多个因素,其中包括迹线的频率参数,分类器类型和土地覆盖率。对特征提取时间和准确率的实验表明,频率参数(特别是Δτ)和分类器类型会影响这两个参数。

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