关键词: 信息分析, 目标多面化分解, 蜂群算法, 无人机

Abstract:

In order to optimize the target information acquisition technology by prudently selecting observing angles and to collect maximum information with the fewest observing points,a multi-side decomposition-based information content description model is proposed,which is used to measure the target information collected by optical image sensors at different observing angles. The main idea of this model is that,to estimate the information collected at different observing angles,the target is decomposed into multiple sides,and its information is described by the combined vector of the information collected from all sides. Moreover,the modified bee colony algorithm is utilized to search the optimal observing angle and to further obtain the maximum information content. The proposed method is then applied to the planning simulation of observing angles in the target information acquisition of an unmanned aerial vehicle with multi-temporal and relative observation. Experimental results show that the proposed optimization method improves the average information acquisition by 58.5%,and that it helps to perform efficient planning with maximum information acquisition when observing angles are limited.

Key words: information analysis, multi-side target decomposition, bee colony algorithm, unmanned aerial vehicles