基于局部特征提取和遥感图像稀疏表示的农田地块边界提取

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

International Journal of Remote Sensing Pub Date : 2024-03-19 DOI:10.1080/01431161.2024.2329527

Mingxue Zheng, Pingting Chen, Xiangcheng Shen, Hongmei Luo, Zhiqing Luo, Hairong Ma, Fenghua Huang

引用次数: 0

摘要

准确的农田边界信息对精准农业非常重要。结合局部线索的轮廓检测在自然图像中表现出很高的性能。图像稀疏表示法可以在自然图像中进行轮廓检测。

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).