The use of object oriented image analysis automatic extraction of unpaved roads in updating road maps: a lesson for the department of the Surveyor general

This paper exhibits a method for extraction of unpaved roads from high resolution Pleiadis satellite imagery using Object Oriented Image Analysis (OOIA). The study area is Woodlands in Gweru Zimbabwe. Using ENVI EX, a rule based classification was performed. Classification rules were made from unpav...

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Main Author: Zvatapiwa, Moyo
Language:English
Published: Midlands State University 2018
Subjects:
Online Access:http://hdl.handle.net/11408/3148
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author Zvatapiwa, Moyo
author_facet Zvatapiwa, Moyo
author_sort Zvatapiwa, Moyo
collection DSpace
description This paper exhibits a method for extraction of unpaved roads from high resolution Pleiadis satellite imagery using Object Oriented Image Analysis (OOIA). The study area is Woodlands in Gweru Zimbabwe. Using ENVI EX, a rule based classification was performed. Classification rules were made from unpaved roads properties, by utilizing combination between unique multispectral bands, principal components and also utilizing combination of geometric attributes like width, length, neighbor and asymmetry and contextual ones. The outcome demonstrates that the OOIA algorithm effectively extracts unpaved roads from satellite images.
id ir-11408-3148
institution My University
language English
publishDate 2018
publisher Midlands State University
record_format dspace
spelling ir-11408-31482022-06-27T13:49:05Z The use of object oriented image analysis automatic extraction of unpaved roads in updating road maps: a lesson for the department of the Surveyor general Zvatapiwa, Moyo Pleiadis satellite Road maps Satellite images This paper exhibits a method for extraction of unpaved roads from high resolution Pleiadis satellite imagery using Object Oriented Image Analysis (OOIA). The study area is Woodlands in Gweru Zimbabwe. Using ENVI EX, a rule based classification was performed. Classification rules were made from unpaved roads properties, by utilizing combination between unique multispectral bands, principal components and also utilizing combination of geometric attributes like width, length, neighbor and asymmetry and contextual ones. The outcome demonstrates that the OOIA algorithm effectively extracts unpaved roads from satellite images. 2018-09-07T10:54:58Z 2018-09-07T10:54:58Z 2018 http://hdl.handle.net/11408/3148 en open Midlands State University
spellingShingle Pleiadis satellite
Road maps
Satellite images
Zvatapiwa, Moyo
The use of object oriented image analysis automatic extraction of unpaved roads in updating road maps: a lesson for the department of the Surveyor general
title The use of object oriented image analysis automatic extraction of unpaved roads in updating road maps: a lesson for the department of the Surveyor general
title_full The use of object oriented image analysis automatic extraction of unpaved roads in updating road maps: a lesson for the department of the Surveyor general
title_fullStr The use of object oriented image analysis automatic extraction of unpaved roads in updating road maps: a lesson for the department of the Surveyor general
title_full_unstemmed The use of object oriented image analysis automatic extraction of unpaved roads in updating road maps: a lesson for the department of the Surveyor general
title_short The use of object oriented image analysis automatic extraction of unpaved roads in updating road maps: a lesson for the department of the Surveyor general
title_sort use of object oriented image analysis automatic extraction of unpaved roads in updating road maps: a lesson for the department of the surveyor general
topic Pleiadis satellite
Road maps
Satellite images
url http://hdl.handle.net/11408/3148
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AT zvatapiwamoyo useofobjectorientedimageanalysisautomaticextractionofunpavedroadsinupdatingroadmapsalessonforthedepartmentofthesurveyorgeneral