Image Classification of High Resolution Satellite Imagery Using Deep Learning Approach

Extracting the information from earth's surface is main goal of remote sensing. There are various artificial techniques which are helpful for extracting information. Compared to those artificial methods, this paper represents method which learns the features naturally. Basically method is deep learning which can learn features layer by layer. Deep Learning is latest approach in classification. Deep learning method can successfully implemented in the area of high dimensional data, hyper spectral data classification. It shows excellent performance as compared to that shallow architecture. Deep learning leads to better accuracy as compared to other approaches.