Classification, crop parameter estimation and synergy effects using airborne DLR E-SAR and DAEDALUS images

Author

Schmullius, Christiane ; Schrage, Thomas

Author_Institution

Inst. for Radio Frequency Technol., German Aerosp. Res. Establ., Wessling, Germany

Volume

1

fYear

1998

fDate

6-10 Jul 1998

Firstpage

97

Abstract

This paper analyses multitemporal E-SAR images from seven dates between May 20 and July 30, 1992 in X-band (VV- and HH-polarization), C-band VV-polarization) and L-band (HH-polarization), maximum likelihood and unsupervised classifications were applied on several single- and multi-frequency, mono- and multi-temporal channel combinations. The overall classification accuracies were evaluated using test site confusion matrices. Using clustering less crop types could be identified, but the overall accuracies were higher than with supervised methods

Keywords

agriculture; airborne radar; geophysical techniques; image classification; radar imaging; remote sensing; remote sensing by radar; spaceborne radar; synthetic aperture radar; C-band; DAEDALUS image; E-SAR image; L-band; SAR; SHF; UHF; agriculture; airborne DLR E-SAR; crop parameter estimation; crop type; geophysical measurement technique; image classification; land surface; maximum likelihood; multitemporal method; optical image; optical imaging; radar polarimetry; radar remote sensing; synthetic aperture radar; terrain mapping; test site confusion matrix; unsupervised classification; vegetation mapping; visible region; Biomass; Clouds; Crops; Filtering; Parameter estimation; Radar imaging; Radio frequency; Soil moisture; Speckle; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.702810

Filename

702810