Pattern Recognition for Region Identification and Labeling for Remotely Sensed Images

In today’s world, rapid urbanization is leading to increasing the availability of remotely sensed images which gives occasion of identifying urban objects. Lot of work has already done in this regard but it is limited for the images of some specific areas like urban images, airports etc. Also the techniques used were limited to those areas and not applicable to other images from different areas. This paper gives a new method of recognizing the objects of remotely sensed images and labeling them by using classification techniques on the base of knowledge of known images. This system gives identification of the objects in the image and gives labels to the specific area.