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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Adaptive Threshold-Based Shadow Masking for Across-Date Settlement Classification of Panchromatic QuickBird Images
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Adaptive Threshold-Based Shadow Masking for Across-Date Settlement Classification of Panchromatic QuickBird Images

机译：全色QuickBird图像跨日期结算分类的基于阈值的自适应阴影遮罩

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摘要

Multitemporal land-use analysis is becoming increasingly important for the effective management of Earth resources. Despite that, consistent differences in the viewing and illumination geometry in satellite-borne imagery introduce some issues in the creation of land-use classification maps. The focus of this letter is settlement classification with high-resolution panchromatic acquisitions, using texture features to distinguish between settlement classes. The important multitemporal variance component of shadow is effectively removed before feature determination, which allows for minimum-supervision across-date classification. Shadow detection based on local adaptive thresholding is employed and experimentally shown to outperform existing fixed threshold shadow detectors in increasing settlement classification accuracy. Both same- and across-date settlement accuracies are significantly improved with shadow masking during feature calculation. A statistical study was performed and found to support the hypothesis that the increased accuracy is due to shadow masking specifically.
机译：多时相土地利用分析对于有效管理地球资源变得越来越重要。尽管如此，在卫星图像中观察和照明几何形状的一致差异在创建土地用途分类图时会带来一些问题。这封信的重点是高分辨率全色采集的沉降分类，使用纹理特征来区分沉降类别。阴影的重要的多时间方差分量在特征确定之前已被有效去除，从而可以进行最小监督的跨日期分类。采用了基于局部自适应阈值的阴影检测，并通过实验证明了该方法在提高沉降分类精度方面优于现有的固定阈值阴影检测器。在特征计算过程中，使用遮罩可以显着提高相同日期和跨日期的沉降精度。进行了一项统计研究，发现支持以下假设：准确度的提高特别是由于阴影遮罩所致。

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