通过量子退火优化摄像头传感器网络中时空背景受限的全视角区域覆盖部署

IF 4.3 1区地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Geographical Information Science Pub Date : 2024-05-29 DOI:10.1080/13658816.2024.2358045

Jie Li, Zhenqiang Li, Long Yao, Ke Wang, Jialin Li, Yao Lu, Chuli Hu

引用次数: 0

摘要

利用摄像传感器网络（CSN）对空间区域进行全视角覆盖是安全监控等监控任务的关键。传统的 CSN 挑战仅关注目标检测，而摄像传感器网络（CSN）则不同。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimisation of spatiotemporal context-constrained full-view area coverage deployment in camera sensor networks via quantum annealing

Full-view coverage of a space area with a camera sensor network (CSN) is key to monitoring tasks like security monitoring. Unlike traditional CSN challenges that focus on mere target detection, the...

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来源期刊

International Journal of Geographical Information Science 地学-计算机：信息系统

CiteScore

11.00

自引率

7.00%

发文量

审稿时长

9 months

期刊介绍： International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.