Cloud Detection for Landsat Images by Fusion of Multi-temporal Data

被引：0

作者：

Wang, Rui ^{[1
]}

Huang, Wei ^{[1
]}

机构：

[1] Shanghai Univ, Sch Commun & Informat Engn, Shanghai, Peoples R China

来源：

2018 INTERNATIONAL CONFERENCE ON AUDIO, LANGUAGE AND IMAGE PROCESSING (ICALIP) | 2018年

关键词：

cloud detection; multitemporal; thick clouds; thin clouds; Fast Independent Component Analysis; SHADOW DETECTION; AUTOMATED CLOUD; ALGORITHM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Landsat images are the most widely used satellite data; they are susceptible to cloud interference that will affects the subsequent applications. In this paper, an effective cloud detection algorithm is proposed for Landsat images by fusing multi-temporal Landsat data. The algorithm includes two parts: thick clouds detection based on the reflection characteristics of thick clouds in the blue band; and thin clouds detection by Fast Independent Component Analysis (FastICA). Experimental results indicate that the algorithm proposed has good accuracy and effectiveness both for thick and thin cloud detection in large area scene.

引用

页码：333 / 337

页数：5

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