Global offshore wind turbine detection: a combined application of deep learning and Google earth engine

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

International Journal of Remote Sensing Pub Date : 2024-08-30 DOI:10.1080/01431161.2024.2391587

Shuai Zhang, Fangxiong Wang, Yingzi Hou, Junfu Wang, Jianke Guo

引用次数: 0

Abstract

As a renewable energy source, ocean wind energy plays an important role in addressing challenges such as global energy shortages and climate warming. In the past decade, the offshore wind power ind...

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全球近海风力涡轮机检测：深度学习与谷歌地球引擎的结合应用

作为一种可再生能源，海洋风能在应对全球能源短缺和气候变暖等挑战方面发挥着重要作用。在过去的十年中，海上风电产业的发展取得了长足的进步。

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

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).