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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1294534
