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首页> 外文期刊>Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of >Multiscale Integration Approach for Land Cover Classification Based on Minimal Entropy of Posterior Probability
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Multiscale Integration Approach for Land Cover Classification Based on Minimal Entropy of Posterior Probability

机译：基于后验最小熵的土地覆盖分类的多尺度集成方法

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摘要

Object-based land cover mapping has drawn increasing attention for its ability to overcome the salt-and-pepper problem associated with pixel-based methods by considering spatial information from neighboring regions. However, the performance of object-based classification is strongly affected by over- or undersegmented objects. The optimal scale is difficult to determine; moreover, it usually varies along with the application purpose or classification targets. Most previous efforts on scale determination based only on image information are not flexible in adapting to different classification systems; consequently, their use is not advisable. In this paper, to better consider classification targets, the information from training samples for classification is also used for determining the optimal scale based on the concept of minimal entropy of posterior probability (MEPP). The proposed MEPP method consists mainly of two stages: 1) training samples from the original pixel level are applied to classify segmented images and obtain posterior probability maps on multiple scales; and 2) the optimal object scale is determined according to the MEPP that corresponds to the minimum classification uncertainty. Experiments on high-spatial-resolution images and Landsat images confirm the superiority of the proposed MEPP method in land cover classification.
机译：基于对象的土地覆盖制图通过考虑邻近区域的空间信息来克服与基于像素的方法相关的盐和胡椒问题的能力，已引起越来越多的关注。但是，基于对象的分类的性能会受到对象分割过多或不足的强烈影响。最佳规模难以确定；此外，它通常随应用目的或分类目标而变化。以前大多数仅基于图像信息进行比例确定的工作在适应不同分类系统时都不灵活。因此，不建议使用它们。在本文中，为了更好地考虑分类目标，还基于后验概率最小熵（MEPP）的概念，使用训练样本中的信息进行分类，以确定最佳规模。提出的MEPP方法主要包括两个阶段：1）将原始像素水平的训练样本应用于分割图像的分类，并获得多尺度的后验概率图。 2）根据与最小分类不确定度相对应的MEPP确定最优目标尺度。在高空间分辨率图像和Landsat图像上进行的实验证实了提出的MEPP方法在土地覆被分类中的优越性。

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