Municipal Model Maker

IF 2.6 4区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Spectrum Pub Date : 2024-06-06 DOI:10.1109/MSPEC.2024.10551795

Willie D. Jones

引用次数: 0

Abstract

Researchers at the University of the Bundeswehr in Munich have developed a deep-learning system to generate 3D relief maps of cities using 2D images generated by synthetic aperture radar (SAR) signals beamed from a satellite. The researchers' SAR2Height algorithm, also trained on airborne lidar or stereo-camera images of the same cities, can render a 3D cityscape–such as this 3D relief map of Munich–with building heights accurate to 3 meters. This way, says University of Houston geosensing systems engineering professor Pietro Milillo, SAR images of a disaster area can rapidly generate data on changes in building height and therefore can yield, he says, “a map of probability of collapse of buildings.”

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市政模型制作

慕尼黑联邦国防军大学的研究人员开发了一种深度学习系统，利用卫星发射的合成孔径雷达（SAR）信号生成的二维图像生成城市的三维浮雕地图。研究人员的 SAR2Height 算法也是在相同城市的机载激光雷达或立体相机图像上训练出来的，它可以呈现三维城市景观，比如这张慕尼黑的三维浮雕地图，建筑物高度精确到 3 米。休斯顿大学地球传感系统工程教授皮埃特罗-米利洛（Pietro Milillo）说，通过这种方式，灾区的合成孔径雷达图像可以快速生成建筑物高度变化的数据，因此可以生成 "建筑物倒塌概率地图"。

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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来源期刊

IEEE Spectrum 工程技术-工程：电子与电气

CiteScore

2.50

自引率

0.00%

发文量

254

审稿时长

4-8 weeks

期刊介绍： IEEE Spectrum Magazine, the flagship publication of the IEEE, explores the development, applications and implications of new technologies. It anticipates trends in engineering, science, and technology, and provides a forum for understanding, discussion and leadership in these areas. IEEE Spectrum is the world''s leading engineering and scientific magazine. Read by over 300,000 engineers worldwide, Spectrum provides international coverage of all technical issues and advances in computers, communications, and electronics. Written in clear, concise language for the non-specialist, Spectrum''s high editorial standards and worldwide resources ensure technical accuracy and state-of-the-art relevance.

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