Classification of farmland using multitemporal aerial images

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Mueller, S.; Heipke, C.; Pakzad, K.: Classification of farmland using multitemporal aerial images. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [Core Spatial Databases - Updating, Maintenance And Services - From Theory To Practice] 38-4-8-2 (2010), Nr. W9, S. 70-74

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1126

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Sum total of downloads: 102




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Abstract: 
It is well known that there is a growing need for consistent and up-to-date GIS-data at various scales for administrative and regulatory applications. Especially farmland classes are of high interest in this context. A new automatic method for the classification of crops is described. The method is based on sequences of digital aerial orthophotos with a ground sampling distance of 0.17m. The applied image sequence consists of twelve images of the same region within one vegetation period. Expert knowledge about the crops together with extracted features leads to temporal models for each crop. The temporal change of the features along with a changing relevance of a feature is considered. The temporal models are applied during classification that is based on a weighting function. The approach is tested on a test site of about 700ha and achieves correct classification rates better than 90%.
License of this version: CC BY 3.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2010
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 81 79.41%
2 image of flag of India India 3 2.94%
3 image of flag of United States United States 2 1.96%
4 image of flag of Sweden Sweden 2 1.96%
5 image of flag of Nepal Nepal 2 1.96%
6 image of flag of Japan Japan 2 1.96%
7 image of flag of Russian Federation Russian Federation 1 0.98%
8 image of flag of Korea, Republic of Korea, Republic of 1 0.98%
9 image of flag of Italy Italy 1 0.98%
10 image of flag of Austria Austria 1 0.98%
    other countries 6 5.88%

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