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Improved Digital Orthorectification Map Generation Approach Using the Integrating of ZY3 and GF3 Image

机译:结合ZY3和GF3图像改进的数字正射影像生成方法。

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The integrating of ZY3 and GF3 satellite image can achieved long-term acquisition of DOM product, however, the selection of point in SAR image was a difficult task, and the edge error cannot be guaranteed if the optical and SAR images were produced individually, an improved DOM product generation approach was proposed in order to ensure the accuracy and efficiency of DOM generation. 29 scenes of ZY3 image and 20 scenes of GF3 image in Hainan island were selected as experimental image, and the results showed that the horizontal accuracy of 73.47% of orthorectification result were better than 1 pixel (10 m), and 26.53% of orthorectification result were better than 2 pixels (20 m), which can meet the horizontal accuracy requirement of 1:50000 scale surveying and mapping in China. At the same time, an improved approach using the dodging and mosaic line editing was proposed to integrate the orthrectification image, it can be seen from this article that the color transition of ZY3 data region and the hue transition of GF3 data region was more natural, and the manual editing was not big. Therefore, the efficiency and accuracy of the improved approach of DOM generation proposed in this paper can be guaranteed in large areas, which can be used as a reference for users when generating the DOM using the integrating image of ZY3 and GF3.
机译:ZY3和GF3卫星图像的整合可以实现DOM产物的长期获取,但是,在SAR图像中选择点是一项艰巨的任务,如果单独制作光学和SAR图像,则无法保证边缘误差,因此,为了确保DOM生成的准确性和效率,提出了一种改进的DOM产品生成方法。选择海南岛的29个ZY3图像和20个GF3图像作为实验图像,结果表明,矫正结果的水平精度为73.47%优于1像素(10 m),矫正结果的水平精度为26.53%小于2像素(20 m),可以满足中国1:50000比例测绘的水平精度要求。同时,提出了一种使用躲避和镶嵌线编辑的改进方法来整合正射图像,从本文中可以看出,ZY3数据区域的颜色过渡和GF3数据区域的色相过渡更为自然,而且手动编辑不大。因此,可以在大范围内保证本文提出的改进的DOM生成方法的效率和准确性,可以作为用户使用ZY3和GF3的集成图像生成DOM的参考。

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