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面向水资源监测任务的星载多传感器组合方法

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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.
A Combined Method of Space-borne Multi-sensors for Water Resources Monitoring
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.

space-borne multi-sensormulti-sensor performance measurementmonitoring task requirement proto-typefuzzy greedy search decisioncombined observation

姜莹、陈喆、向大享、陈希炽、赵静、文雄飞、申邵洪

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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

长江科学院科研计划处,武汉 430010

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

2024

长江科学院院报
长江科学院

长江科学院院报

CSTPCD北大核心
影响因子:0.618
ISSN:1001-5485
年,卷(期):2024.41(12)