Details
| Original language | English |
|---|---|
| Pages (from-to) | 70-74 |
| Number of pages | 5 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 38 |
| Publication status | Published - 2010 |
| Event | Core Spatial Databases - Updating, Maintenance and Services - From Theory to Practice - Haifa, Israel Duration: 15 Mar 2010 → 17 Mar 2010 |
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%.
Keywords
- Aerial, Agriculture, Classification, Crop, Multitemporal, Vegetation
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 38, 2010, p. 70-74.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Classification of farmland using multitemporal aerial images
AU - Müller, S.
AU - Heipke, C.
AU - Pakzad, K.
PY - 2010
Y1 - 2010
N2 - 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%.
AB - 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%.
KW - Aerial
KW - Agriculture
KW - Classification
KW - Crop
KW - Multitemporal
KW - Vegetation
UR - http://www.scopus.com/inward/record.url?scp=84907986394&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:84907986394
VL - 38
SP - 70
EP - 74
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
T2 - Core Spatial Databases - Updating, Maintenance and Services - From Theory to Practice
Y2 - 15 March 2010 through 17 March 2010
ER -