基于联合采样的包含不连续面的地图投影网格的绘制

T. Bayer
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引用次数: 1

摘要

本文提出了一种基于组合采样技术的投影光栅在区间$\varOmega=\varOmega_{\varphi}\times\varOmega_{\lambda}$上进行区间绘制的新算法。该方法综合了均匀采样和自适应采样方法,并处理了坐标函数的不连续$F,G$。支持由投影极$K=[\varphi_{k},\lambda_{k}]$、两个标准平行线$\varphi_{1},\varphi_{2}$和中央子午线位移$\lambda_{0}^{\prime}$表示的一整套投影常数值。根据不连续方向,它将给定的纬度/经度区间$\varOmega_{\varphi}=[\underline{\varphi},\overline{\varphi}]$, $\varOmega_{\lambda}=[\underline{\lambda},\overline{\lambda}]$细分为不相交的子区间集$\varOmega_{k,\varphi}^{g},$$\varOmega_{k,\lambda}^{g}$,形成没有内部奇异点的瓦片,只包含“好”数据;它们的参数可以很容易地调整。在$\varOmega_{k}^{g}=\varOmega_{k,\varphi}^{g}\times\varOmega_{k,\lambda}^{g}$上生成的每个格子瓷砖边界都沿着奇点运行。对于多边形近似相邻段之间给定阈值$\overline{\alpha}$的组合采样,采用递归方法;子午线/平行偏移量为$\Delta\varphi,\Delta\lambda$。最后,对所提出的算法进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Plotting the map projection graticule involving discontinuities based on combined sampling
This article presents  new algorithm for interval plotting the projection graticule on the interval $\varOmega=\varOmega_{\varphi}\times\varOmega_{\lambda}$ based on the combined sampling technique. The proposed method synthesizes uniform and adaptive sampling approaches and treats discontinuities of the coordinate functions $F,G$. A full set of the projection constant values represented by the projection pole $K=[\varphi_{k},\lambda_{k}]$, two standard parallels $\varphi_{1},\varphi_{2}$ and the central meridian shift $\lambda_{0}^{\prime}$ are supported. In accordance with the discontinuity direction it utilizes a subdivision of the given latitude/longitude intervals $\varOmega_{\varphi}=[\underline{\varphi},\overline{\varphi}]$, $\varOmega_{\lambda}=[\underline{\lambda},\overline{\lambda}]$ to the set of disjoint subintervals $\varOmega_{k,\varphi}^{g},$$\varOmega_{k,\lambda}^{g}$ forming tiles without internal singularities, containing only "good" data; their parameters can be easily adjusted. Each graticule tile borders generated over $\varOmega_{k}^{g}=\varOmega_{k,\varphi}^{g}\times\varOmega_{k,\lambda}^{g}$ run along singularities. For combined sampling with the given threshold $\overline{\alpha}$ between adjacent segments of the polygonal approximation the recursive approach has been used; meridian/parallel offsets are $\Delta\varphi,\Delta\lambda$. Finally, several tests of the proposed algorithms are involved.
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