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METHODS AND SYSTEMS FOR AUTOMATIC OBJECT DETECTION FROM AERIAL IMAGERY

机译:从航空影像自动检测物体的方法和系统

摘要

Methods and systems for detecting objects from aerial imagery are disclosed. The method includes obtaining an image of an area, obtaining a plurality of regional aerial images from the image of the area, classifying the plurality of regional aerial images as a first class or a second class by a classifier, wherein: the first class indicates a regional aerial image contains a target object, the second class indicates a regional aerial image does not contain a target object, and the classifier is trained by first and second training data, wherein the first training data include first training images containing target objects, and the second training data include second training images containing target objects obtained by adjusting at least one of brightness, contrast, color saturation, resolution, or a rotation angle of the first training images; and recognizing a target object in a regional aerial image in the first class.
机译:公开了用于从航空图像中检测物体的方法和系统。该方法包括:获得区域的图像;从该区域的图像获得多个区域航空图像;通过分类器将多个区域航空图像分类为第一类或第二类,其中:第一类指示区域航拍图像包含目标物体,第二类指示区域航拍图像不包含目标物体,并且通过第一训练数据和第二训练数据训练分类器,其中第一训练数据包括包含目标物体的第一训练图像,并且第二训练数据包括第二训练图像,该第二训练图像包含通过调整第一训练图像的亮度,对比度,色彩饱和度,分辨率或旋转角度中的至少一个而获得的目标对象。在第一类的区域航空图像中识别目标物体。

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