随机几何应用于遥感数据地物目标提取方法综述OA
Research on Application of Stochastic Geometry to Ground Objects Extraction from Remote Sensing Data
遥感数据地物目标(如道路、建筑物、水系和树冠等)提取有利于交通管理、城市规划等相关领域的发展.随机几何理论应用于目标提取具有灵活性、面向对象性、稳定性和收敛性等优势,逐渐成为学者研究遥感数据地物目标提取方法依据的重要理论基础.鉴于此,依据近些年来国内外的相关文献,对现有的随机几何理论和方法进行了总结,梳理了随机几何理论应用于地物目标提取建模的基本思想,介绍了该类模型的参数求解算法以及实验结果的评价方法,并针对现有方法及其特点总结了随机几何理论应用…查看全部>>
Ground objects(e.g.,roads,buildings,water systems,tree crowns,etc.)extraction from remote sensing data is beneficial for the development of related fields such as traffic management and urban planning.The application of stochastic geometry theory in target extraction has advantages of flexibility,object-oriented,stability,and convergence,thus it is gradually becoming an important theoretical basis for scholars to study the methods of extracting ground object…查看全部>>
吴优
沈阳师范大学计算机与数学基础教学部,辽宁沈阳 110034
机械工程
随机几何遥感数据点过程模拟算法地物目标线过程
stochastic geometryremote sensing datapoint processsimulation algorithmground objectsline process
《无线电工程》 2024 (10)
2383-2392,10
辽宁省博士科研启动基金项目(20240281)Liaoning Province Doctoral Research Initiation Fund(20240281)
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