融合多源影像的全球地理环境智能三维重建  

Intelligent Global Geo-environmental 3D Reconstruction Based on Multi-source Image Fusion

作　　者：杨选伦 吴长枝[2] 齐晓飞[2] 赵耀 YANG Xuanlun;WU Changzhi;QI Xiaofei

机构地区：[1]速度时空信息科技股份有限公司,南京210000 [2]西安测绘研究所,西安710054 [3]中国人民解放军战略支援部队信息工程大学,郑州450001

出　　处：《科技创新与应用》2023年第10期1-4,共4页Technology Innovation and Application

摘　　要：首先回顾我国立体测绘卫星的发展现状,指出人工智能技术是实现全球地理环境三维重建与快速更新的关键。针对境外地理环境三维空间表达能力不足的问题,提出融合光学立体测量与合成孔径雷达干涉测量的地表及典型地物三维重建解决方案,旨在利用人工智能技术实现多源影像的融合,推动全球地理环境三维动态监测技术的发展。Firstly,the development of stereo surveying and mapping satellites in China is reviewed.Next,artificial intelligence(AI)is pointed out as the key to achieve global geo-environmental 3D reconstruction and rapid update.Subsequently,in order to acquire the precise 3D model of overseas geographical environment,a 3D reconstruction method based on optical stereo measurement and Interferometric Synthetic Aperture Radar(InSAR)is proposed to obtain the accurate model of earth surface and typical object.The objective is to promote the development of global geo-environment 3D dynamic monitoring technology by multi-modal image fusion using AI.

关 键 词：测绘卫星 多源影像融合 人工智能 三维重建 光学立体测量 合成孔径雷达干涉测量 

分 类 号：P231[天文地球—摄影测量与遥感]