DocumentCode
2059972
Title
The use of multitemporal ERS-1 SLC data for landuse classification
Author
Kellndorfer, J. ; Schadt, R. ; Mauser, W.
Author_Institution
Inst. of Geogr., Munchen Univ., Germany
fYear
1993
fDate
18-21 Aug 1993
Firstpage
1608
Abstract
During the commissioning phase of ERS-1 28 single-look-complex (SLC) scenes were taken of the Freiburg testsite (app. 50 km2) in the time period between Aug. 17th and Nov. 30th 1991. The scenes were converted to greyvalue images, speckle reduced using a Lee-filter and geometrically matched. A maximum-likelihood-classification of the testsite was carried out. The landuse classes were compared with a digital landuse map resulting from the 1991 ground data collection. As can be expected speckle still influences the classification results. To overcome this problem the classification results has been fit to the digital field boundary map. This enabled a fieldwise post-classification using the majority rule, which considerably improved the result of the multitemporal landuse classification
Keywords
geophysical techniques; geophysics computing; image recognition; maximum likelihood estimation; remote sensing; remote sensing by radar; synthetic aperture radar; Lee-filter; SAR; fieldwise post-classification; geometrically matched; geophysical measurement technique; greyvalue image; land surface imaging; landuse classification; majority rule; maximum-likelihood-classification; multitemporal ERS-1 SLC; pattern recognition; radar remote sensing; single-look-complex; speckle; Geography; Image converters; Information filtering; Information filters; Layout; Management information systems; Radiometry; Remote sensing; Speckle; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location
Tokyo
Print_ISBN
0-7803-1240-6
Type
conf
DOI
10.1109/IGARSS.1993.322447
Filename
322447
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