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A Remote Sensing Image Target Recognition Method Based on SIFT Algorithm

机译:一种基于SIFT算法的遥感图像目标识别方法

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Aerial camera could obtain the ground target image information, and the target recognition could be carried through the image preprocessing and interpretation. In the process of image interpretation, under the precondition of massive images, if the interpretation member recognition was used only, the interpretation process will be complicated, time-consuming and the man-made errors will also be increased gradually. Based on this situation the SIFT method was used in the paper and the target in image received from aerial camera were got feature extraction, the feature points were obtained and it were contrast to the target feature points of standard target in the library which were set up in advance, so the accurate interpretation of aviation image target could achieved, so a kind of effective interpretation identification method for correct aviation image target recognition was proposed.
机译:空中摄像机可以获得地面目标图像信息,并且可以通过图像预处理和解释来携带目标识别。在图像解释过程中,在大规模图像的前提下,如果仅使用解释成员识别,解释过程将是复杂的,耗时的,并且人为错误也将逐渐增加。基于这种情况,在纸上使用SIFT方法,并且从航空相机接收的图像中的目标得到特征提取,获得特征点,与设置的库中标准目标的目标特征点相反事先,所以可以实现对航空图像目标的准确解释,因此提出了一种用于正确的航空图像目标识别的有效解释识别方法。

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