Satellite images are widely used in urban planning and growth analysis with different
technology being developed. A remotely sensed image is at first pre-processed to remove
anomalies from it, thus resulting in a clear and informative image. Image classification is
categorized into two techniques, namely supervised and unsupervised techniques. Both the
techniques give different outputs and accuracy parameters. This paper describes the
analysis of supervised and unsupervised techniques of remotely sensed images for land …

With a view of accomplishing the needs for further analysis on image, a remotely sensed
image is at first pre-processed in order to remove anomalies from it, thus resulting in clear
and informative image. The importance of the accuracy in processing of a remotely sensed
image cannot be over emphasized as without it the quality of output produced would be of
lesser value to the end user. Remote sensing image classification involves supervised and
unsupervised techniques. Both the techniques give different outputs and levels of accuracy …