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An Improvement of Vehicle Detection under Shadow Regions in Satellite Imagery

机译:卫星影像阴影区域下车辆检测的一种改进

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The processing of satellite imagery is dependent upon the quality of imagery. Due to low resolution, it is difficult to extract accurate information according to the requirements of applications. For the purpose of vehicle detection under shadow regions, we have used HOG for feature extraction, SVM is used for classification and HOG is discerned worthwhile tool for complex environments. Shadow images have been scrutinized and found very complex for detection as observed very low detection rates therefore our dedication is towards enhancement of detection rate under shadow regions by implementing appropriate preprocessing. Vehicles are precisely detected under non-shadow regions with high detection rate than shadow regions.
机译:卫星图像的处理取决于图像的质量。由于分辨率低,很难根据应用程序的要求提取准确的信息。为了在阴影区域下进行车辆检测,我们使用HOG进行特征提取,使用SVM进行分类,并且HOG被认为是用于复杂环境的有价值的工具。阴影图像经过仔细检查,发现检测非常复杂,因为观察到的检测率非常低,因此我们致力于通过实施适当的预处理来提高阴影区域下的检测率。在非阴影区域内以比阴影区域高的检测率对车辆进行精确检测。

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