Cloud restoration of optical satellite imagery using time-series spectral similarity group

IF 6 2区地球科学 Q1 GEOGRAPHY, PHYSICAL

GIScience & Remote Sensing Pub Date : 2024-03-05 DOI:10.1080/15481603.2024.2324553

Yerin Yun, Jinha Jung, Youkyung Han

引用次数: 0

Abstract

According to climate statistics, clouds cover more than a third of the Earth’s land surface on average. This cloud coverage obstructs optical satellite imagery, resulting in a loss of essential inf...

查看原文本刊更多论文

利用时间序列光谱相似性组对光学卫星图像进行云恢复

根据气候统计数据，云层平均覆盖了地球陆地表面的三分之一以上。这种云层覆盖阻碍了光学卫星图像，导致重要信息的丢失。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

GIScience & Remote Sensing 地学-遥感

CiteScore

11.20

自引率

9.00%

发文量

审稿时长

6 months

期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.