2007
DOI: 10.1556/crc.35.2007.2.41
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Vegetation change detection of mires with digital aerial photographs

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Cited by 3 publications
(4 citation statements)
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“…Even though object based methods (such as image segmentation) play a greater role in vegetation science, simple pixel based classification methods still have a considerable importance. For panchromatic aerial photos, these latter methods can only be used when a relatively small number of categories are separated (Cserhalmi and Kristóf, 2007). At the same time, it is possible to separate habitats with different texture, e.g.…”
Section: Aerial Photographs Image Interpretation Accuracy Assessmentmentioning
confidence: 99%
“…Even though object based methods (such as image segmentation) play a greater role in vegetation science, simple pixel based classification methods still have a considerable importance. For panchromatic aerial photos, these latter methods can only be used when a relatively small number of categories are separated (Cserhalmi and Kristóf, 2007). At the same time, it is possible to separate habitats with different texture, e.g.…”
Section: Aerial Photographs Image Interpretation Accuracy Assessmentmentioning
confidence: 99%
“…Although Yao and Zhang (2006) propose a method for colour photographs, a suitable method for panchromatic photographs still does not exist. Combining classification and segmentation would lead to a good result, considering every black pixel as shadow, but as supervised classification leads to false results (Cserhalmi and Kristóf 2007) with panchromatic photographs, manual shadow detection is still the most practicable method.…”
Section: Manual Mapping Versus Digital Image Interpretationmentioning
confidence: 99%
“…When performed on multi-spectral satellite images, classification can separate different plant associations, as well as different species due to the spectral differences (Schmidt and Skidmore 2002;Sickel et al 2004;Langake et al 2007). Using panchromatic photographs, however, only a few habitat types can be separated at a coarse landscape level and classic image analysis cannot be performed (Cserhalmi and Kristóf 2007).…”
Section: Introductionmentioning
confidence: 99%
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