顾及空间邻接关系的无人机影像匹配并行算法

doi:10.3969/j.issn.0255-8297.2017.06.011

Abstract

Abstract:

To deal with the problem of load balancing and feature data transmission in parallel algorithms of unmaned aerial vehicle (UAV) image match, aparallel algorithm for image match considering spatial contiguity is proposed. In the feature extraction phase, initial task partition is carried out according to spatial contiguity between images. The final feature extraction task is determined by performing a fine-grain second partition based on the initial partition. In task scheduling, corresponding tasks are assigned according to the computational node state, after which other tasks are assigned. In the image matching phase, matching tasks are assigned first according to the feature extraction tasks. Matching task unit of each node is confirmed by the node number of the feature extraction task. The same method is applied to image match in the whole measured area. Experiments on a typical data set including 1 463 UAV images show that the algorithm can realize load balancing of the parallel system and reduce the amount of feature data transmission,thus significantly improving efficiency of image match.

Key words: spatial contiguity relations, amount of feature data transmission, UAV image match, image match efficiency, load balancing

CLC Number:

TP311.5

ZHANG Chun-sen, QIU Zhen-guo, GUO Bing-xuan, XIAO Xiong-wu, ZHU Shi-huan. Parallel Algorithm of UAV Image Match Considering Spatial Contiguity[J]. Journal of Applied Sciences, 2017, 35(6): 775-785.

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Parallel Algorithm of UAV Image Match Considering Spatial Contiguity

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