Open AccessSupervised Classification of Satellite Image Processing using Neural Networks
Author(s) -
K. Srilatha,
Mathangi Sri,
G. Udaya Lakshmi,
Mortha Vineela,
G. Varapriya,
Ch. Suneetha
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.g4847.059720
Subject(s) - software , computer science , satellite , artificial neural network , artificial intelligence , matlab , satellite image , satellite imagery , image processing , contextual image classification , code (set theory) , image (mathematics) , remote sensing , computer vision , pattern recognition (psychology) , geography , engineering , set (abstract data type) , programming language , aerospace engineering , operating system
Now a day’s satellite image processing plays a major role. By using remote sensing technique, we can classify the satellite images like LISS (Linear image self-scanner), LANDSAT satellite image by using ERDAS imagine software. By using ERDAS imagine software, the classification of an satellite images will take more time. Rather than ERDAS imagine software we can use NEURAL NETWORKS in MATLAB software for classifying the satellite images by using the corresponding code with respect to the image by simply changing the file name. This paper includes the method like supervised and classification by using ERDAS imagine software and MATLAB code. The aim of this projects is to realize the image classification using NEURAL NETWORKS.