Recent advanced in image processing | (Change Detection using Neural network)

Lamyaa Taha

ISBN 10: 6200483094 / ISBN 13: 9786200483096

Published by LAP LAMBERT Academic Publishing, 2019

About this Item

Recent advanced in image processing | (Change Detection using Neural network) | Lamyaa Taha | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200483096 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 120469954

Bibliographic Details

• Title: Recent advanced in image processing | (Change Detection using Neural network)
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6200483094
• ISBN 13: 9786200483096
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 96 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This study explores the utility of artificial neural network for change detection. Section one gives an introduction about the objective of change detection, definition of artificial neural network, learning of neural network, applications of neural net- work in remote sensing and the objective of this research. Section two is a literature review of neural network. Section three concerned with neural network, some definitions about neural network, neuron were mentioned. The idea of neural networks was explained. The topology of neural network was studied. Some types of neural networks were discussed briefly with concentration on the multi-layer perceptron network. Section four concerned with implementation of MLP with BP training, output layer training and hidden layer training were discussed .Section five talking about multi-layer perceptron algorithm using back-propagation. Section six talking about using neural network for classification, the softwares that use neural network for classification were mentioned. Then, a comparison between neural networks and statistical based classification was made.