Comparison of the tree species select classification methods from aerial photo
This article describes a comparison of various programs for the automatic supervised classification used for identification of forest tree species representation from the aerial photographs. These programs were represented by American software Erdas Imagine 8.4, Czech products LuciaG 4.0 and TopoL D...
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Mendel University Press
2008-01-01
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Online Access: | https://acta.mendelu.cz/56/5/0279/ |
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doaj-a9e29ad5cdd84695b3409325ce70fa9a2020-11-25T00:12:34ZengMendel University PressActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis1211-85162464-83102008-01-0156527929210.11118/actaun200856050279Comparison of the tree species select classification methods from aerial photoMartin Gabzdyl0Ústav pro hospodářskou úpravu lesů Brandýs nad Labem, pobočka Frýdek-Místek, Nádražní 2811, 738 25 Frýdek-Místek, Česká republikaThis article describes a comparison of various programs for the automatic supervised classification used for identification of forest tree species representation from the aerial photographs. These programs were represented by American software Erdas Imagine 8.4, Czech products LuciaG 4.0 and TopoL DMT 6.014. The study displays a minor production forest area with proportion of four most frequently occurring tree species – spruce, larch, oak and ash in the research area of the forest region around Bystřice pod Hostýnem, the Czech Republic. For the reason of lower quality of spectrozonal photographs it was necessary to use some corrections; such as highlighting pen techniques, namely Kernel Processor Low-Frequency and High-Frequency filters, belonging to space operations. Photographs, modified in this way, served for a construction of individual training sets, which were consequently used within individual classification methods of directed classification in each comparative software. Self-classification took place at the level of a particular tree species. Classification accuracy was determined by comparison of results and reference data from the terrain research.The outcome is, that the best classification for oak and ash was in combination with TopoL program, classification according to gravity centre and combination of solation + insolation signature of the treetop parts with an aggressive shade.On the contrary, for spruce and larch was the best classification in combination with software Erdas Imagine, classification roles of intervals mahalanobis with combination of solation signature of the treetop parts, along these tree edges with an aggressive shade.https://acta.mendelu.cz/56/5/0279/aerial photosupervised classificationspecies compositionsprucelarchoak |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Martin Gabzdyl |
spellingShingle |
Martin Gabzdyl Comparison of the tree species select classification methods from aerial photo Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis aerial photo supervised classification species composition spruce larch oak |
author_facet |
Martin Gabzdyl |
author_sort |
Martin Gabzdyl |
title |
Comparison of the tree species select classification methods from aerial photo |
title_short |
Comparison of the tree species select classification methods from aerial photo |
title_full |
Comparison of the tree species select classification methods from aerial photo |
title_fullStr |
Comparison of the tree species select classification methods from aerial photo |
title_full_unstemmed |
Comparison of the tree species select classification methods from aerial photo |
title_sort |
comparison of the tree species select classification methods from aerial photo |
publisher |
Mendel University Press |
series |
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis |
issn |
1211-8516 2464-8310 |
publishDate |
2008-01-01 |
description |
This article describes a comparison of various programs for the automatic supervised classification used for identification of forest tree species representation from the aerial photographs. These programs were represented by American software Erdas Imagine 8.4, Czech products LuciaG 4.0 and TopoL DMT 6.014. The study displays a minor production forest area with proportion of four most frequently occurring tree species – spruce, larch, oak and ash in the research area of the forest region around Bystřice pod Hostýnem, the Czech Republic. For the reason of lower quality of spectrozonal photographs it was necessary to use some corrections; such as highlighting pen techniques, namely Kernel Processor Low-Frequency and High-Frequency filters, belonging to space operations. Photographs, modified in this way, served for a construction of individual training sets, which were consequently used within individual classification methods of directed classification in each comparative software. Self-classification took place at the level of a particular tree species. Classification accuracy was determined by comparison of results and reference data from the terrain research.The outcome is, that the best classification for oak and ash was in combination with TopoL program, classification according to gravity centre and combination of solation + insolation signature of the treetop parts with an aggressive shade.On the contrary, for spruce and larch was the best classification in combination with software Erdas Imagine, classification roles of intervals mahalanobis with combination of solation signature of the treetop parts, along these tree edges with an aggressive shade. |
topic |
aerial photo supervised classification species composition spruce larch oak |
url |
https://acta.mendelu.cz/56/5/0279/ |
work_keys_str_mv |
AT martingabzdyl comparisonofthetreespeciesselectclassificationmethodsfromaerialphoto |
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1725398885669535744 |