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

Li Guo, Xia Wang, Mingyu Yue
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Abstract

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.
基于ZY3和GF3图像集成的改进数字正射影地图生成方法
结合ZY3和GF3卫星影像可以实现DOM产品的长期获取,但SAR影像中点的选择是一项艰巨的任务,如果单独生成光学影像和SAR影像,则无法保证边缘误差,为了保证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。选取海南岛地区ZY3影像的29个场景和GF3影像的20个场景作为实验影像,结果表明:73.47%的正校正结果水平精度优于1像元(10 m), 26.53%的正校正结果水平精度优于2像元(20 m),可以满足中国1:5万比例尺测绘的水平精度要求。同时,提出了一种改进的方法,利用模糊和拼接线编辑对正校正图像进行整合,从本文中可以看出,ZY3数据区域的颜色过渡和GF3数据区域的色调过渡更加自然,手工编辑量不大。因此,本文提出的改进的DOM生成方法在大范围内可以保证生成的效率和准确性,可供用户在使用ZY3和GF3的积分图像生成DOM时参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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