Time Variant Change Analysis in Satellite Images
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 4
Abstract
This paper describes the time variant changes in satellite images using Self Organizing Feature Map (SOFM) technique associated with Artificial Neural Network. In this paper, we take a satellite image and find the time variant changes using above technique with the help of MATLAB. This paper reviews remotely sensed data analysis with neural networks. First, we present an overview of the main concepts underlying Artificial Neural Networks (ANNs), including the main architectures and learning algorithms. Then, the main tasks that involve ANNs in remote sensing are described. We first make a brief introduction to models of networks, for then describing in general terms Artificial Neural Networks (ANNs). As an application, we explain the back propagation algorithm, since it is widely used and many other algorithms are derived from it. There are two techniques that are used for classification in pattern recognition such as Supervised Classification and Unsupervised Classification. In supervised learning technique the network knows about the target and it has to change accordingly to get the desired output corresponding to the presented input sample data. Most of the previous work has already been done on supervised classification. In this study we are going to present the classification of satellite images using unsupervised classification method of ANN
Authors and Affiliations
Rachita Sharma, Sanjay Dubey
Keywords
Related Articles
- EP ID EP130611
- DOI 10.14569/IJACSA.2013.040420
- Views 87
- Downloads 0
Arabic Alphabet and Numbers Sign Language Recognition
This paper introduces an Arabic Alphabet and Numbers Sign Language Recognition (ArANSLR). It facilitates the communication between the deaf and normal people by recognizing the alphabet and numbers signs of Arabic sign l...
A Comparative Study of Meta-heuristic Algorithms for Solving Quadratic Assignment Problem
Quadratic Assignment Problem (QAP) is an NP-hard combinatorial optimization problem, therefore, solving the QAP requires applying one or more of the meta-heuristic algorithms. This paper presents a comparative study betw...
Classification of Hand Movements based on Discrete Wavelet Transform and Enhanced Feature Extraction
Extraction of potential electromyography (EMG) features has become one of the important roles in EMG pattern recognition. In this paper, two EMG features, namely, enhanced wavelength (EWL) and enhanced mean absolute valu...
Novel ABCD Formula to Diagnose and Feature Ranking of Melanoma
A prototype of skin cancer detection system for melanoma diagnoses in early stages is very important. In this paper, a novel technique is proposed for Skin malignant growth identification based on feature parameters, col...
Architecture of a Mediation System for Mobile Payment
Nowadays, the mobile phone has become an indispensable part of our daily. Exceeding the role of a communication apparatus, and benefitting from the evolution of technology, it could be used for several uses other than te...