DocumentCode
410981
Title
The effect of seasonal and weather conditions to land cover class separability in ERS radar data
Author
Törmä, Markus ; Engdahl, Marcus
Author_Institution
Inst. of Photogrammetry & Remote Sensing, Helsinki Univ. of Technol., Espoo, Finland
Volume
4
fYear
2003
fDate
21-25 July 2003
Firstpage
2635
Abstract
The effect of seasonal and weather conditions to the separability of land cover classes were studied using ERS SAR intensity and coherence images. Generally, the classes are more separable in individual coherence images than in individual intensity images. The exception is springtime during snowmelt, when intensity images are better. Temporal averaging and some texture measures increase class separability.
Keywords
atmospheric techniques; climatology; geophysical signal processing; image classification; radar imaging; remote sensing by radar; snow; synthetic aperture radar; ERS radar data; SAR intensity images; coherence images; land cover class separability; seasonal conditions; snowmelt; springtime; temporal averaging measurements; texture; weather conditions; Cities and towns; Dielectrics; Laboratories; Meteorological radar; Radar remote sensing; Remote sensing; Rough surfaces; Space technology; Spaceborne radar; Surface roughness;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN
0-7803-7929-2
Type
conf
DOI
10.1109/IGARSS.2003.1294534
Filename
1294534
Link To Document