Overview on Different Algorithm for Cloud Detection and Removal for Satellite Images

Clouds is one of the significant obstacles in extracting information from tea lands using remote sensing imagery Different approaches have been attempted to solve this problem with varying levels of success in the past decade, a number of cloud removal approaches have been proposed. In this paper we review and discuss about the cloud detection & removal, need of cloud computing, its principles, and cloud removal process and various algorithm of cloud removal. This paper attempts to give a recipe for selecting one of the popular cloud removal algorithms like The Information Cloning Algorithm, Cloud Distortion Model and Filtering Procedure, Semi-Automated Cloud/Shadow, And Haze Identification and Removal etc. A cloud removal approach based on information cloning is introduced...Using generic interpolation machinery based on solving Poisson equations, a variety of novel tools are introduced for seamless editing of image regions. The patch-based information reconstruction is mathematically formulated as a Poisson equation and solved using a global optimization process. Based on the specific requirements of the project that necessitates the utilization of certain types of cloud detection algorithms is decided.