Thin Cloud Removal Approach for Yellow River Remote Sensing Monitoring

Autor: Lin Chen, Yi Fu Zhou, Hao Lu Ma
Rok vydání: 2013
Předmět:
Zdroj: Advanced Materials Research. :1348-1352
ISSN: 1662-8985
Popis: Cloud is one of the most common noises of remote sensing monitoring in Yellow River. It is one of the important tasks to remove or weaken the effect of thin cloud. Based on the imaging model and characteristics of thin cloud, some technologic methods to remove cloudy are introduced, such as the method of filtering in space domain, the method of filtering in frequency domain and the method of band ratio. This paper analyzed the characteristics, application method and work flow of those methods, and evaluated the application effect of remote sensing monitoring using these methods in Yellow River. Thin cloud removal method improves the using-efficiency of remote sensing data, and ensures the reliability of remote sensing results.
Databáze: OpenAIRE