With the development and matureness of the satellite remote sensing technology, the use of satellite images for mapping production has become more and more important. As satellite images and traditional aerial photographs are different, during the utilization of existing mapping techniques to enlarge the image to the pixel level to seek for control points, the exact pixel points and the point coordinates can't be found in a series of mixed pixels because of the division generated randomly by the sensor element and the influence of the surrounding surface features. As a result, the image can't be accurately measured at a point, which will cause aerial mapping error. Therefore, a new symbol used in digital photogrammetry is presented in this paper, which is different from the ones in relative standard, and an algorithm is put forward based on the grayness of pixels of this kind of symbol in the digital image, which can find points and simultaneously improve the single point positioning accuracy. Finally, with a GeoEye-1 stereo pair through the actual encryption work, the practicability and the accuracy of the method are verified.
贺一楠, 耿娟, 秦军, 刘晨, 杨辉. 基于混合像元灰度分布的提高点位平面精度方法[J]. 国土资源遥感, 2015, 27(1): 29-34.
HE Yinan, GENG Juan, QIN Jun, LIU Chen, YANG Hui. Research on improving the planar accuracy of ground point based on mixed pixel gray distribution. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 29-34.
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2015, Vol. 27 
