首页  >  科研动态  >  正文
科研动态
硕士生朱邵聪,沈焕锋的论文在REMOTE SENSING LETTERS 刊出
发布时间:2023-01-04 15:13:13     发布者:易真     浏览次数:

标题: A fast two-step algorithm for large-area thick cloud removal in high-resolution images

作者: Zhu, SC (Zhu, Shaocong); Li, ZW (Li, Zhiwei); Shen, HF (Shen, Huanfeng); Lin, DK (Lin, Dekun)

来源出版物: REMOTE SENSING LETTERS : 14 : 1 : 1-9 DOI: 10.1080/2150704X.2022.2152753 出版年: JAN 2 2023

摘要: Clouds are inevitable in optical satellite images, and affect the subsequent processing and application of the images. Thick cloud removal in high-resolution imagery is challenging due to the complex spatial and radiometric variations. In this letter, we present a two-step thick cloud removal method based on fast radiometric adjustment and residual correction (FRARC), which is effective for large-area thick cloud removal in high-resolution images. Compared with other thick cloud removal methods, the proposed FRARC method achieved both satisfactory results and a high efficiency in simulated and real-data experiments. In addition, as the area covered by clouds in the imagery increases, FRARC shows a more significant improvement in efficiency compared to the other methods. The proposed FRARC method can be applied to generate cloud-free images to support seamless mapping with high-resolution images.

作者关键词: Thick cloud removal; high-resolution images; radiometric adjustment; residual correction

地址: [Zhu, Shaocong; Li, Zhiwei; Shen, Huanfeng; Lin, Dekun] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

[Zhu, Shaocong] Hubei Luojia Lab, Wuhan, Peoples R China.

通讯作者地址: Shen, HF (通讯作者)Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China.

电子邮件地址: shenhf@whu.edu.cn

影响因子:2.369

信息服务
学院网站教师登录 学院办公电话 学校信息门户登录

版权所有 © 太阳成tyc7111cc(股份)有限公司-搜狗百科
地址:湖北省武汉市珞喻路129号 邮编:430079 
电话:027-68778381,68778284,68778296 传真:027-68778893    邮箱:sres@whu.edu.cn