基于深度学习和热红外图像特征的无人机低光场景语义分割

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

International Journal of Remote Sensing Pub Date : 2024-06-17 DOI:10.1080/01431161.2024.2357842

Pakezhamu Nuradili, Guiyun Zhou, Ji Zhou, Ziwei Wang, Yizhen Meng, Wenbin Tang, Farid Melgani

引用次数: 0

摘要

随着无人驾驶飞行器（UAV）遥感技术的发展，遥感图像已成为包括农业、生物多样性和环境等各领域研究数据的重要来源。

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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Semantic segmentation for UAV low-light scenes based on deep learning and thermal infrared image features

With advancements in unmanned aerial vehicle (UAV) remote sensing technology, remote sensing images have emerged as a critical source of research data across various domains, including agriculture,...

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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).