测绘通报 ›› 2025, Vol. 0 ›› Issue (5): 79-83.doi: 10.13474/j.cnki.11-2246.2025.0513

• 学术研究 • 上一篇    

遥感卫星多任务观测效能评估分析

赵紫芸1, 唐新明1,2, 欧阳斯达2   

  1. 1. 山东科技大学, 山东 青岛 266590;
    2. 自然资源部国土卫星遥感应用中心, 北京 100048
  • 收稿日期:2025-01-16 发布日期:2025-06-05
  • 作者简介:赵紫芸(2000—),女,硕士生,主要研究方向为卫星拍摄任务。E-mail:ynymxqc_ywdjs@163.com
  • 基金资助:
    国家重点研发计划(2022YFB3903601)

Evaluation and analysis of multi-mission observation effectiveness of remote sensing satellite

ZHAO Ziyun1, TANG Xinming1,2, OUYANG Sida2   

  1. 1. Shandong University of Science and Technology, Qingdao 266590, China;
    2. Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, China
  • Received:2025-01-16 Published:2025-06-05

摘要: 随着社会发展,遥感数据的需求增大,卫星需要完成的拍摄任务也随之增多。受卫星数量和成像能力的限制,拍摄时会有一定取舍,因此本文针对影响卫星观测效能评估的特征,生成观测效能综合评估模型,综合形成观测效能评估分值,进而作出合理、科学的决策。为观测效能评估生成4个描述因子,为使其具有可比性,对其进行了归一化处理,利用遗传算法迭代选取最优解,实现了对观测任务的评价。选取资源三号(ZY-3)02星2022—2023年和03星2022年的拍摄任务进行了验证,结果表明,该模型适应性较好,可以较科学地反映多任务观测综合效能。

关键词: 资源三号卫星, 卫星成像规划, 多特征观测评估, 云量

Abstract: With the development of society, the demand for remote sensing data is increasing, and the shooting tasks that satellites need to complete are also increasing. Limited by the number of satellites and imaging capabilities, there will be a certain trade-off when shooting. Therefore, the definition proposed in this paper affects the characteristics of satellite observation effectiveness evaluation, generates a comprehensive evaluation model of observation effectiveness, and comprehensively forms observation effectiveness evaluation scores, and then makes reasonable and scientific decisions. Firstly, four description factors are generated for observation effectiveness evaluation. In order to make them comparable and normalize them, the genetic algorithm is used to iteratively select the optimal solution, so as to realize the evaluation of observation tasks. In this paper, the shooting tasks of ZY-3 02 satellite in 2022—2023 and ZY-3 03 satellite in 2022 are selected to verify this method. The experimental results show that the model has good adaptability and can scientifically reflect the comprehensive performance of multi-task observation.

Key words: ZY-3 satellite, satellite imaging planning, multi-feature observation evaluation, cloud amount

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