Extracting Nature Areas Using Object Oriented Analysis: Remote Sensing For Environmental Monitoring

Narieswari, Lalitya; Narieswari, Lalitya

ISBN 10: 3659246999 / ISBN 13: 9783659246999

Edité par Lap Lambert Academic Publishing, 2012

64 pages. 8.66x5.91x0.15 inches. In Stock. N° de réf. du vendeur 3659246999

Synopsis :

A so-called non-intervention management scheme has been adopted in a large part of the nature areas. This means that natural processes like storm, grazing, climate, succession and diseases are allowed to occur and become a dominant factor that changes the structure and ecosystem in the area. There is a need to monitor how the applied management influences the environment and the habitat of the nature area. This study focuses on developing an approach to extract the different types of land cover which characterize the nature areas in the study area based on object oriented analysis using aerial photographs. Three subset areas were chosen and considered as representative areas. The study aimed to create a rule set transferable to other datasets to enable automatic monitoring. Using Definiens Developer, segmentation and classification were undertaken at 2 levels to create a hierarchical image object. The validation was assessed by comparing the result of the computer-based segmentation with a reference segmentation generated by visual interpretation.

Présentation de l'éditeur: A so-called non-intervention management scheme has been adopted in a large part of the nature areas. This means that natural processes like storm, grazing, climate, succession and diseases are allowed to occur and become a dominant factor that changes the structure and ecosystem in the area. There is a need to monitor how the applied management influences the environment and the habitat of the nature area. This study focuses on developing an approach to extract the different types of land cover which characterize the nature areas in the study area based on object oriented analysis using aerial photographs. Three subset areas were chosen and considered as representative areas. The study aimed to create a rule set transferable to other datasets to enable automatic monitoring. Using Definiens Developer, segmentation and classification were undertaken at 2 levels to create a hierarchical image object. The validation was assessed by comparing the result of the computer-based segmentation with a reference segmentation generated by visual interpretation.

Détails bibliographiques

Titre : Extracting Nature Areas Using Object ...
Éditeur : Lap Lambert Academic Publishing
Date d'édition : 2012
Reliure : Paperback
Etat : Brand New