REVIEW ON SATELLITE IMAGE CLASSIFICATION BY MACHINE LEARNING AND OPTIMIZATION APPROACHES

Abstract

Image classification is an unpredictable procedure that might be influenced by many
variables. This paper orders different satellite pictures with its highlights and distinctive sorts of the
supervised learning algorithm. This writing audit proposes that outlining an appropriate remote
image‐processing method is an essential for an effective grouping of remotely detected information
into a topical guide. Viable utilization of various highlights of remotely detected information and the
determination of a reasonable arrangement technique is particularly noteworthy for enhancing
characterization exactness.