期刊论文

Research on the tasks scheduling algorithm for imaging satellite observing forest area

中文

中南林业科技大学学报

1673-923X

2018

38

10

41-46

10.14067/j.cnki.1673-923x.2018.10.007

国家社科基金项目(15BGL083) 湖南省研究生科研创新项目(CX2014B326)。

本校为第一机构

卫星成像观测在评估森林储量、监测森林火灾、识别林木类型、监控森林虫害等多个方面发挥重要作用。高效的任务规划算法对充分利用稀缺卫星资源,提高森林区域成像监测效能具有重要意义。针对森林区域面积较大、卫星一次过境不能完全覆盖的特点,提出了对森林区域目标进行分解的点格化方法,并给出点格化覆盖效果的评估模型。分析了成像卫星任务规划的约束条件,以点格化后的目标为输入,以最大化观测目标数量为优化目标,构建出成像卫星任务规划的数学模型。提出一种新型的融合禁忌策略的粒子群算法求解该模型,设计了相关交叉变异策略。最后通过仿真实验和对比分析验证了所提方法的有效性。

Satellite imaging observation plays a key role in evaluating forest reserves,detecting forest fires,identifying forest types,and monitoring forest pests.An effective task planning algorithm is of great significance to make full use of scarce satellite resources and improve the forest imaging efficiency.Since the area of a forest is usually large and a satellite cannot completely cover the entire forest area at one time,a pointization method for decomposing the forest area is presented.In addition,a model for the evaluating the pointization effect is proposed.Constraints involved in the satelli...