用于空间目标表达的智能化判决方法  

Intelligent Decision Method for Space Objects Expression

作　　者：施群山[1] 徐青[1] 蓝朝桢[1] 吕亮[1] SHI Qunshan XU Qing LAN Chaozhen LV Liang(Information Engineering University, Zhengzhou 450001, China)

机构地区：[1]信息工程大学,河南郑州450001

出　　处：《测绘科学技术学报》2017年第2期175-180,共6页Journal of Geomatics Science and Technology

基　　金：国家高技术研究发展计划项目(2013AA7035059J)

摘　　要：面对海量的空间目标,用户在感知空间态势过程中,需要解决"哪些空间目标需要表达出来,表达出来的目标中哪些需要重点表达"的问题。手工设置可以一定程度上满足需求,但是其过程复杂、繁琐。因此引入人工智能领域的智能代理和人工神经元网络来解决空间目标表达问题,分别将其应用于空间目标表达内容辅助筛选及重点目标确定上,共同完成空间目标的表达;并进行了实验验证。实验结果表明:Agent与神经网络结合可有效解决空间目标表达问题,并且具有一定的智能性。Facing the vast space objects, the users need to solve the problem of space objects expression, which objects need to express, which expressed objects need to be specially focus on, when they are perceiving space situation. Selecting manually the space objects can meet the requirements to some extent, but the process is complicated and cumbersome, so intelligent agent and artificial neural networks were introduced to solve the problem of space objects expression. Both of them were respectively applied to assist the users in choosing the space objects which would be expressed and identifing key space objects, and two methods were used to complete the expression of space objects together. The experimental results show that the combination of intelligent agent and neural networks can effectively solve the problem of space objects expression, and has some intelligence.

关 键 词：空间目标表达 智能代理 目标筛选 BP神经网络 重点目标确定 

分 类 号：P237[天文地球—摄影测量与遥感] TP391[天文地球—测绘科学与技术]