Cloud Shadows Detection and Compensation Algorithm on Multispectral Satellite Images for Agricultural Regions

被引：6

作者：

Bocharov, D. A. ^{[1
]}

Nikolaev, D. P. ^{[1
]}

Pavlova, M. A. ^{[1
]}

Timofeev, V. A. ^{[1
]}

机构：

[1] Russian Acad Sci, Inst Informat Transmiss Problems, Moscow 127051, Russia

来源：

JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS | 2022年 / 67卷 / 06期

基金：

俄罗斯科学基金会;

关键词：

Keywords; shadow compensation; clouds; multispectral images; Sentinel-2; RESTORATION; REMOVAL; NOISE;

D O I：

10.1134/S1064226922060171

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The presence of cloud shadows on remotely sensed images significantly complicates the analysis of the monitored area. The paper considers the problem of cloud shadows compensation on multispectral remotely sensed data. A new algorithm for cloud shadows detection and compensation based on a robust estimate of a local shadowing coefficient is proposed. Experimental results on shadow compensation quality for RGBN channels and Normalized Difference Vegetation Index (NDVI) index using the dataset of ten Sentinel-2 satellite multispectral images are presented. The results show that the compensation effect by the proposed algorithm on RGBN and NDVI data is 2 times better than that of the Gray-World-based algorithm.

引用

页码：728 / 739

页数：12

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