面向水资源监测任务的星载多传感器组合方法
A Combined Method of Space-borne Multi-sensors for Water Resources Monitoring
姜莹 1陈喆 1向大享 1陈希炽 1赵静 1文雄飞 1申邵洪2
作者信息
- 1. 长江科学院空间信息技术应用研究所,武汉 430010;武汉市智慧流域工程技术研究中心,武汉 430010
- 2. 武汉市智慧流域工程技术研究中心,武汉 430010;长江科学院科研计划处,武汉 430010
- 折叠
摘要
面向水资源监测任务需求,综合考虑时-空覆盖性、传感器参数、成像质量和目标重要性等准则,基于监测任务需求原型,提出一种自适应多传感器性能度量方案,构建模糊贪婪搜索决策的星载组合方法,实现对水资源监测任务的最大效益化观测.为验证组合方案的适应性,以丹江口库区为试验区,进行多传感器组合观测模型验证.试验结果表明,组合观测方案能满足在特定时空约束条件下对库区水质、库岸环境及常规干旱监测任务的需求,为水资源日常监测提供合理的决策依据.
Abstract
In addressing the requirements of water resources monitoring tasks,we propose an adaptive multi-sensor performance measurement scheme by integrating time-space coverage,sensor parameters,imaging quality,and tar-get importance based on the prototype of the monitoring task requirements.To achieve optimal benefit for water re-sources monitoring tasks,we constructed a combined optimization method using fuzzy greedy search decision algo-rithm and validated the adaptability of the proposed method by applying it to the Danjiangkou Reservoir area.Re-sults demonstrate that the combined observation method effectively meet the requirements of reservoir water quality monitoring,reservoir bank environmental monitoring,as well as routine drought monitoring tasks within specific space-time constraints,thereby providing a sound decision-making basis for the daily monitoring of water resources.
关键词
星载多传感器/多传感器性能度量/任务需求原型/模糊贪婪搜索决策/组合观测Key words
space-borne multi-sensor/multi-sensor performance measurement/monitoring task requirement proto-type/fuzzy greedy search decision/combined observation引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据