{"title":"面向野火管理的卫星星座重访任务调度方法","authors":"Zhijiang Wen, Yan Liu, Shengyu Zhang, Haiying Hu","doi":"10.1049/ell2.70197","DOIUrl":null,"url":null,"abstract":"<p>Wildfires spread quickly and require frequent satellite observations for early detection and effective management. Large Earth observation satellite constellations (EOSC) can meet this need with their broad coverage and diverse spectral capabilities. However, designing an efficient scheduling strategy for revisit tasks remains challenging due to the complex time-coupled requirements and the multi-objective nature of large-scale EOSC operations. To address this, we introduce a time-driven multi-objective (TDMO) scheduling method. The key innovation of TDMO lies in its explicit integration of revisit intervals and a time-driven mechanism, ensuring consistent observation frequencies and improved coordination of resources. Experiments across different wildfire scenarios show that TDMO effectively enhances scheduling efficiency and monitoring performance, offering a novel solution for dynamic and complex revisit scheduling in wildfire management.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70197","citationCount":"0","resultStr":"{\"title\":\"Task Scheduling Method of Revisit Tasks for Satellite Constellation Towards Wildfire Management\",\"authors\":\"Zhijiang Wen, Yan Liu, Shengyu Zhang, Haiying Hu\",\"doi\":\"10.1049/ell2.70197\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Wildfires spread quickly and require frequent satellite observations for early detection and effective management. Large Earth observation satellite constellations (EOSC) can meet this need with their broad coverage and diverse spectral capabilities. However, designing an efficient scheduling strategy for revisit tasks remains challenging due to the complex time-coupled requirements and the multi-objective nature of large-scale EOSC operations. To address this, we introduce a time-driven multi-objective (TDMO) scheduling method. The key innovation of TDMO lies in its explicit integration of revisit intervals and a time-driven mechanism, ensuring consistent observation frequencies and improved coordination of resources. Experiments across different wildfire scenarios show that TDMO effectively enhances scheduling efficiency and monitoring performance, offering a novel solution for dynamic and complex revisit scheduling in wildfire management.</p>\",\"PeriodicalId\":11556,\"journal\":{\"name\":\"Electronics Letters\",\"volume\":\"61 1\",\"pages\":\"\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2025-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70197\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Electronics Letters\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ell2.70197\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics Letters","FirstCategoryId":"5","ListUrlMain":"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ell2.70197","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Task Scheduling Method of Revisit Tasks for Satellite Constellation Towards Wildfire Management
Wildfires spread quickly and require frequent satellite observations for early detection and effective management. Large Earth observation satellite constellations (EOSC) can meet this need with their broad coverage and diverse spectral capabilities. However, designing an efficient scheduling strategy for revisit tasks remains challenging due to the complex time-coupled requirements and the multi-objective nature of large-scale EOSC operations. To address this, we introduce a time-driven multi-objective (TDMO) scheduling method. The key innovation of TDMO lies in its explicit integration of revisit intervals and a time-driven mechanism, ensuring consistent observation frequencies and improved coordination of resources. Experiments across different wildfire scenarios show that TDMO effectively enhances scheduling efficiency and monitoring performance, offering a novel solution for dynamic and complex revisit scheduling in wildfire management.
期刊介绍:
Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews.
Scope
As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below.
Antennas and Propagation
Biomedical and Bioinspired Technologies, Signal Processing and Applications
Control Engineering
Electromagnetism: Theory, Materials and Devices
Electronic Circuits and Systems
Image, Video and Vision Processing and Applications
Information, Computing and Communications
Instrumentation and Measurement
Microwave Technology
Optical Communications
Photonics and Opto-Electronics
Power Electronics, Energy and Sustainability
Radar, Sonar and Navigation
Semiconductor Technology
Signal Processing
MIMO