URL: http://portal.igg.ac.mn/en/dataset/ee531b86-5b7e-4a9f-b0a9-ded5e595fd49/resource/d6976488-a1fc-492b-91f1-b64537ccf0cc/download/58.pdf

The aim of this study is to compare the information extracted from high and very high resolution satellite images in terms of information content and reliability to update thematic layers in a geographical information system (GIS). For the extraction of information from the selected remote sensing (RS) data sets, a knowledge-based classification technique based on a rule-based approach has been constructed. The method uses an initial image segmentation procedure based on a Mahalanobis distance classifier (or spectral parameters) as well as the constraints on spectral and spatial thresholds. Overall, the study indicated that unlike the information extracted from high resolution RS images which contains large uncertainty in terms of delineation of individual objects, the information extracted from very high resolution satellite images are very reliable and can be successfully used for update of a GIS layer specifically in urban context.


This resource view is not available at the moment. Click here for more information.

Download resource

Additional Information

Field Value
Data last updated February 3, 2020
Metadata last updated February 3, 2020
Created February 3, 2020
Format application/pdf
License Creative Commons Attribution
created7 months ago
has viewsTrue
last modified7 months ago
on same domainTrue
package idee531b86-5b7e-4a9f-b0a9-ded5e595fd49
revision idffeec946-b12a-413a-8585-009334a72b5b
size778.2 KiB
url typeupload