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Extraction of forest roads network map by Fuzzy theory and mathematical morphology


Azizi, Z; Najafi, A; Fatehi, P; Pir Bavaghar, M (2010). Extraction of forest roads network map by Fuzzy theory and mathematical morphology. Journal of Forest and Wood Products (JFWP), 62(4):371-379.

Abstract

Road is one of the most important and obvious extractable feature in satellite imagery. Automatic road extraction from satellite imagery has many advantages such as updating data bases by spending less time and cost. The aim of present research is the automatic extraction of forest roads map using Liss_IV sensor imagery of IRS_P6 satellite. Because of frequent irregular objects in forest, roads are very complicated for extracting automatically. Therefore, the designed methodology for this research was in a way that can deal with this problem. For this aim, image of the study area was classified into two road and non road areas by a fuzzy logic. Then, morphological mathematic algorithm was used to extract the existed roads. By this method, forest roads map was extracted automatically with 88% overall accuracy. Also, morphological mathematic algorithm showed a great ability for recovering road line that was hidden or was cut off under forest canopy.

Abstract

Road is one of the most important and obvious extractable feature in satellite imagery. Automatic road extraction from satellite imagery has many advantages such as updating data bases by spending less time and cost. The aim of present research is the automatic extraction of forest roads map using Liss_IV sensor imagery of IRS_P6 satellite. Because of frequent irregular objects in forest, roads are very complicated for extracting automatically. Therefore, the designed methodology for this research was in a way that can deal with this problem. For this aim, image of the study area was classified into two road and non road areas by a fuzzy logic. Then, morphological mathematic algorithm was used to extract the existed roads. By this method, forest roads map was extracted automatically with 88% overall accuracy. Also, morphological mathematic algorithm showed a great ability for recovering road line that was hidden or was cut off under forest canopy.

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Additional indexing

Item Type:Journal Article, not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:Persian
Date:2010
Deposited On:09 Apr 2013 07:25
Last Modified:05 Apr 2016 16:44
Publisher:Faculty of Natural Resources, University of Tehran
ISSN:2008-5052
Related URLs:http://www.sid.ir/en/ViewPaper.asp?ID=181308&vRadif=4&vWriter=AZIZI%20Z.,NAJAFI%20AKBAR,FATAHI%20P.,PIR%20BA%20VAGHAR%20M.&vJournal=JOURNAL+OF+FOREST+AND+WOOD+PRODUCTS+%28JFWP%29+%28IRANIAN+JOURNAL+OF+NATURAL+RESOURCES%29&vDate=WINTER%202010&vVolume=62&vN

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