Multitemporal analysis of ERS-1 SAR images over land areas

Author

Weydahl, Dan Johan

Author_Institution

Norwegian Defence Res. Establ., Kjeller

fYear

1993

fDate

18-21 Aug 1993

Firstpage

1459

Abstract

ERS-1 SAR images have only one frequency and polarization. Analysis and classification of ground features is thus a difficult task. However, combining several SAR images acquired at different times over the same area, shows an increase in the overall classification result. However, this result depends highly on the image combination, number of images, and speckle filter method used. Multitemporal analysis may also be used to increase knowledge of radar backscatter from different vegetation and surface categories throughout the season

Keywords

geophysical techniques; geophysics computing; image recognition; image sequences; remote sensing by radar; synthetic aperture radar; C-band microwave; ERS-1; SAR; SAR imaging; geophysical measurement technique; ground feature; image classification; image combination; image sequences; land surface terrain mapping; multitemporal analysis; radar backscatter; speckle filter; surface category; synthetic aperture radar; vegetation; Azimuth; Backscatter; Frequency; Image analysis; Pixel; Rough surfaces; Satellites; Soil moisture; Surface roughness; Synthetic aperture radar;

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.1993.322741

Filename

322741