Land Use Land Cover Change Detection: Fuzzy Approach - Couverture souple

J, Jayanth

9786139848898: Land Use Land Cover Change Detection: Fuzzy Approach

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ISBN 10 : 613984889X ISBN 13 : 9786139848898

Editeur : LAP LAMBERT Academic Publishing, 2018

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2018
Langue: anglais
ISBN 10: 613984889X
ISBN 13: 9786139848898
Reliure: Broch�
Nombre de pages: 116
Coordonn�es du fabricant: non disponible
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Land Use Land Cover Change Detection: Fuzzy Approach

Jayanth J

Edit� par LAP LAMBERT Academic Publishing Jun 2018, 2018

ISBN 10 : 613984889X ISBN 13 : 9786139848898

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Change detection approach is capable of mapping the proportional land cover of each class for every pixel. Fuzzy image classification is useful, if not indispensable, for advanced change detection techniques considering processes and therefore the intensity of land cover change. Clear land cover changes from one class to the other. The Overall Classification Accuracy obtained is 77.34%, which can be further improved. As the successful change estimation in our work mainly depends on the classification of our data sets with high accuracies linearly. Also our study does not include knowledge base. If knowledge base is incorporated into the system, the accuracy of classification would improve. As a post classification procedure for change detection, in the place of Fuzzy classification, Maximum likelihood classifiers can also be used. Cross-Correlation Analysis (CCA) can also be used to identify changes that have occurred in a previously mapped area. The procedure uses a recent multi-spectral image with a thematic land cover map in a two-step process. 116 pp. Englisch. N� de r�f. du vendeur 9786139848898

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Land Use Land Cover Change Detection: Fuzzy Approach

Jayanth J

Edit� par LAP LAMBERT Academic Publishing, 2018

ISBN 10 : 613984889X ISBN 13 : 9786139848898

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: J JayanthJayanth J received the B.E. degree in Electronics and Communication Engineering from Vidya Vikas Institute of Engineering and Technology, Mysore, Karnataka, India in the year 2008, and M.Tech. in Digital Electronics and Comm. N� de r�f. du vendeur 385874198

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Land Use Land Cover Change Detection: Fuzzy Approach

Jayanth J

Edit� par LAP LAMBERT Academic Publishing Jun 2018, 2018

ISBN 10 : 613984889X ISBN 13 : 9786139848898

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Change detection approach is capable of mapping the proportional land cover of each class for every pixel. Fuzzy image classification is useful, if not indispensable, for advanced change detection techniques considering processes and therefore the intensity of land cover change. Clear land cover changes from one class to the other. The Overall Classification Accuracy obtained is 77.34%, which can be further improved. As the successful change estimation in our work mainly depends on the classification of our data sets with high accuracies linearly. Also our study does not include knowledge base. If knowledge base is incorporated into the system, the accuracy of classification would improve. As a post classification procedure for change detection, in the place of Fuzzy classification, Maximum likelihood classifiers can also be used. Cross-Correlation Analysis (CCA) can also be used to identify changes that have occurred in a previously mapped area. The procedure uses a recent multi-spectral image with a thematic land cover map in a two-step process.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 116 pp. Englisch. N� de r�f. du vendeur 9786139848898

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Land Use Land Cover Change Detection: Fuzzy Approach

Jayanth J

Edit� par LAP LAMBERT Academic Publishing

ISBN 10 : 613984889X ISBN 13 : 9786139848898

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Change detection approach is capable of mapping the proportional land cover of each class for every pixel. Fuzzy image classification is useful, if not indispensable, for advanced change detection techniques considering processes and therefore the intensity of land cover change. Clear land cover changes from one class to the other. The Overall Classification Accuracy obtained is 77.34%, which can be further improved. As the successful change estimation in our work mainly depends on the classification of our data sets with high accuracies linearly. Also our study does not include knowledge base. If knowledge base is incorporated into the system, the accuracy of classification would improve. As a post classification procedure for change detection, in the place of Fuzzy classification, Maximum likelihood classifiers can also be used. Cross-Correlation Analysis (CCA) can also be used to identify changes that have occurred in a previously mapped area. The procedure uses a recent multi-spectral image with a thematic land cover map in a two-step process. N� de r�f. du vendeur 9786139848898

Contacter le vendeur