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中文摘要：
针对机场目标检测时目标特征提取的单一性问题,提出一种基于整体特征和局部特征互补的多光谱图像的机场目标检测方法。提取多光谱图像的整体轮廓特征,依据轮廓面积的大小得到机场潜在区域;提取潜在区域图像的纹理特征和颜色特征;将这些整体特征和局部特征输入SVM分类器,判断该图像是否包含机场。实验结果表明,该方法能够有效检测出机场目标。
英文摘要：
For the incompletion of feature extraction in airport target detection,a method combining complementary features of the global and local features was presented.The global contour features of the multispectral images were extracted and the airport potential areas were got according to areas of the contours.The local texture and color features of potential areas were extracted.All global and local features mentioned above were input to the SVM classifier so as to determine whether the image contained the airport.Experimental results show the method can effectively detect the airport.
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