中文摘要：

天体的跨 matching 是为聚集不同波长的观察数据的一个基本方法。由数据聚集，天体的目标的性质能包括地被理解。在减少瞄准时间在 I/O 上消费了操作，几个改进方法被介绍，基于养模特儿的边界包括处理流动，它能减少数据库询问操作；能改进任务分区的表演并且解决数据稀少的问题的最大的成长块和它的决心的一个概念；并且计算这个索引的一个快 bitwise 算法附近的块数，它是一条重要效率保证。实验证明方法能有效地在稀少的数据集和高密度的数据集上加快跨 matching。

英文摘要：

Astronomical cross-matching is a basic method for aggregating the observational data of different wavelengths. By data aggregation, the properties of astronomical objects can be understood comprehensively. Aiming at decreasing the time consumed on I/O operations, several improved methods are introduced, including a processing flow based on the boundary growing model, which can reduce the database query operations; a concept of the biggest growing block and its determination which can improve the performance of task partition and resolve data-sparse problem; and a fast bitwise algorithm to compute the index numbers of the neighboring blocks, which is a significant efficiency guarantee. Experiments show that the methods can effectively speed up cross-matching on both sparse datasets and high-density datasets.