Object-oriented polarimetric SAR image classification via the combination of a pixel-based classifier and a region growing technique

IF 3.7 4区地球科学 Q2 REMOTE SENSING

European Journal of Remote Sensing Pub Date : 2023-08-23 DOI:10.1080/22797254.2023.2244149

Lei Huang, Jinqing You, Xiongjian Zhu, Tao Shuai, Yongfu Liao

引用次数: 0

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基于像元分类器和区域生长技术相结合的面向对象极化SAR图像分类

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

European Journal of Remote Sensing REMOTE SENSING-

CiteScore

7.00

自引率

2.50%

发文量

审稿时长

>12 weeks

期刊介绍： European Journal of Remote Sensing publishes research papers and review articles related to the use of remote sensing technologies. The Journal welcomes submissions on all applications related to the use of active or passive remote sensing to terrestrial, oceanic, and atmospheric environments. The most common thematic areas covered by the Journal include: -land use/land cover -geology, earth and geoscience -agriculture and forestry -geography and landscape -ecology and environmental science -support to land management -hydrology and water resources -atmosphere and meteorology -oceanography -new sensor systems, missions and software/algorithms -pre processing/calibration -classifications -time series/change analysis -data integration/merging/fusion -image processing and analysis -modelling European Journal of Remote Sensing is a fully open access journal. This means all submitted articles will, if accepted, be available for anyone to read anywhere, at any time, immediately on publication. There are no charges for submission to this journal.