A hierarchical object detection method based on vision saliency was proposed for automatic remote sensing image interpretation.
针对遥感图像自动判读的应用场景，提出了一种基于视觉显著性的分层目标检测方法。
Using arc dynamic as a measurement of contours saliency, one hierarchical contours detection method of high efficiency was proposed.
以弧段动力学作为区域轮廓的显著性评价，提出了一种多等级区域轮廓提取的高效方法。
Different features have different contribution to saliency, so a new approach for salient region detection with automatic feature selection and weighting is proposed.
不同的特征对视觉显著性的贡献是不同的，为此提出一种能够自动进行特征选择和加权的图像显著区域检测方法。
A hierarchical object detection method based on vision saliency was proposed for automatic sensing image interpretation.
针对遥感图像自动判读的应用场景，提出了一种基于视觉显著性的分层目标检测方法。
A hierarchical object detection method based on vision saliency was proposed for automatic sensing image interpretation.
针对遥感图像自动判读的应用场景，提出了一种基于视觉显著性的分层目标检测方法。
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