Self-supervised change detection of heterogeneous images based on difference algorithms

IF 3.7 4区地球科学 Q2 REMOTE SENSING

European Journal of Remote Sensing Pub Date : 2024-07-01 DOI:10.1080/22797254.2024.2372854

Jinsha Wu, Shuwen Yang, Yikun Li, Yukai Fu, Zhuang Shi, Yao Zheng

引用次数: 0

Abstract

The presence of heterogeneous image disparities often leads to inferior quality in the generated difference images during change detection. This paper proposes a self-supervised change detection of...

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基于差分算法的异质图像自监督变化检测

在变化检测过程中，异质图像差异的存在往往会导致生成的差异图像质量较差。本文提出了一种自监督变化检测方法。

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.