TROG：用于地理参照图像的快速稳健场景匹配算法

IF 3 3区地球科学 Q2 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

International Journal of Remote Sensing Pub Date : 2024-07-12 DOI:10.1080/01431161.2024.2358543

Hongrui Yang, Qiju Zhu, Chunbo Mei, Pengxiang Yang, Hao Gu, Zhenhui Fan

引用次数: 0

摘要

在缺乏全球导航卫星系统（GNSS）或面临挑战的环境中，场景匹配导航系统（SMNS）是无人飞行器（UAV）的一项重要自主技术。本文提出了一种新颖的模板匹配导航系统。

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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TROG: a fast and robust scene-matching algorithm for geo-referenced images

In a GNSS-denied/challenged environment, the scene-matching navigation system (SMNS) is a vital autonomous technology for unmanned aerial vehicles (UAV). This paper proposes a novel template-matchi...

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来源期刊

International Journal of Remote Sensing 工程技术-成像科学与照相技术

CiteScore

7.00

自引率

5.90%

发文量

219

审稿时长

4.8 months

期刊介绍： The International Journal of Remote Sensing ( IJRS) is concerned with the theory, science and technology of remote sensing and novel applications of remotely sensed data. The journal’s focus includes remote sensing of the atmosphere, biosphere, cryosphere and the terrestrial earth, as well as human modifications to the earth system. Principal topics include: • Remotely sensed data collection, analysis, interpretation and display. • Surveying from space, air, water and ground platforms. • Imaging and related sensors. • Image processing. • Use of remotely sensed data. • Economic surveys and cost-benefit analyses. • Drones Section: Remote sensing with unmanned aerial systems (UASs, also known as unmanned aerial vehicles (UAVs), or drones).