面向水资源监测任务的星载多传感器组合方法OA北大核心CSTPCD
A Combined Method of Space-borne Multi-sensors for Water Resources Monitoring
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.
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.
姜莹;陈喆;向大享;陈希炽;赵静;文雄飞;申邵洪
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
计算机与自动化
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
space-borne multi-sensormulti-sensor performance measurementmonitoring task requirement proto-typefuzzy greedy search decisioncombined observation
《长江科学院院报》 2024 (012)
162-170,179 / 10
湖北省自然科学基金项目(2022CFD173);武汉市重点研发计划项目(2023010402010586);国家重点研发计划项目(2021YFC3000205)
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