基于多维特征的高原山区农作物植物识别与提取研究

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

International Journal of Remote Sensing Pub Date : 2024-08-27 DOI:10.1080/01431161.2024.2391080

Linjiang Yin, Zhongfa Zhou, Weiquan Zhao, Yanmei Liao, Denghong Huang, Wei Li

引用次数: 0

摘要

针对以往研究中使用单一地物数据在山区作物提取效果不佳的问题，本研究采用四旋翼飞行器拍摄航空正射影像并进行图像匹配。

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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Research on identification and extraction of crop plants in plateau mountainous areas based on multi-dimensional features

To address poor crop extraction results in mountainous regions using single-feature data in previous research, this study employed a quadcopter to capture aerial orthophoto imagery and image-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).