利用轻量级深度学习模型和超高分辨率无人机图像绘制大面积松树枯萎病病树分布图

IF 3 3区地球科学 Q2 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY International Journal of Remote Sensing Pub Date : 2024-04-11 DOI:10.1080/01431161.2024.2339192

Zhipan Wang, Su Xu, Xinyan Li, Mingxiang Cai, Xiang Liao

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引用次数: 0

摘要

由松材线虫引起的松材线虫病（PWD）给全世界的生态和经济带来了巨大损失。在中国，松材线虫病也严重影响了森林健康状况。

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Mapping large-scale pine wilt disease trees with a lightweight deep-learning model and very high-resolution UAV images

Pine wilt disease (PWD), caused by pine wood nematodes, has brought a great loss in ecology and economy all over the world. In China, the forest health status is also significantly affected by PWD ...

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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).