激光雷达与高光谱成像技术数据融合研究进展
Research Progress in Data Fusion of LiDAR and Hyperspectral Imaging Technology
王书伟 1舒清态 1马旭 2肖劲楠 1周文武1
作者信息
- 1. 西南林业大学林学院,云南 昆明 650224
- 2. 新疆大学地理与遥感科学学院,新疆乌鲁木齐 830046
- 折叠
摘要
近年来,为提高地物分类精度,突破单一传感器的技术擎制,弥补单一数据源应用的局限性,多源遥感数据融合的成为了遥感领域众多学者关注的研究热点.高光谱遥感技术的光学影像同激光雷达点云数据的融合技术在技术层面为提升地物识别与分类的精度上提供了一种可行方案,打破了单一传感器的技术上限,为 目标三维空间—光谱信息一体化获取提供了一种新的解决途径,同时为高光谱激光雷达成像技术研究奠定基础.本文回顾了激光雷达与高光谱成像数据融合发展历程,论述其在特征级和决策级的主要融合方法和研究进展,将常用特征级融合和决策级融合方法进行详细介绍,并对最新几种研究算法进展进行小结和概述,探讨了其面临的挑战和未来发展与应用前景,最后对激光雷达和高光谱成像数据融合未来发展做出系统展望.
Abstract
In recent years,in order to improve the classification accuracy of ground objects,break through the technical system of single sensor,and make up for the limitations of single data source application,multi-source remote sensing data fusion has become a research hotspot concerned by many scholars in the field of remote sensing.The fusion technology of optical image and LiDAR point cloud data of hyperspectral remote sensing technology provides a feasible scheme to improve the accuracy of ground object recognition and classification at the technical level,breaks the technical upper limit of single sensor,and provides a new solution for the integrat-ed acquisition of target three-dimensional space-spectral information.At the same time,it lays a foundation for the research of hyperspectral LiDAR imaging technology.This paper reviews the development history of Li-DAR and hyperspectral imaging data fusion,discusses the main fusion methods and research progress at the fea-ture level and decision level,introduces the commonly used feature level fusion and decision level fusion meth-ods in detail,summarizes the latest research algorithms and discusses their challenges and future development and application prospects.Finally,the future development of LiDAR and hyperspectral imaging data fusion is prospected systematically.
关键词
高光谱遥感/激光雷达/数据融合Key words
Hyperspectral Remote Sensing/LiDAR/Data fusion引用本文复制引用
基金项目
国家重点研发计划(2023YFD2201205)
云南省农业联合专项重点项目(202301BD070001-002)
国家自然科学基金青年基金(42201390)
新疆维吾尔自治区教育厅人才类天池博士计划(TCBS202127)
中国博士后科学基金面上项目(2021M702748)
新疆大学博士启动基金(620321021)
出版年
2024
NETL
NSTL
维普
万方数据