摘要:

Multi-look polarimetric SAR (synthetic aperture radar) data can be represented either in Mueller matrix form or in complex covariance matrix form. The latter has a complex Wishart distribution. A maximum likelihood classifier to segment polarimetric SAR data according to terrain types has been developed based on the Wishart distribution. This algorithm can also be applied to multifrequency multi-look polarimetric SAR data, as well as 10 SAR data containing only intensity information. A procedure is then developed for unsupervised classification.

ISSN:0143-1161    

DOI:10.1080/01431169408954244

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

摘要:

The effectsof the attitude of circular orbiting spaceborne SAR on the Dopper properties of the echo signals of the centroid of the radar beam are studied in this paper. Expressions are derived for the Doppler frequency centroid, the Doppler frequency modulation rate with the attitude angles of yawing, rolling and pitching. The available integration time and other parameters for SAR mode are also calculated. The analytic expressions are presented simply without mathematical approximation. In the derivation of above expression, Earth rotating is included. The parameters useful in image reconstruction such as range migration and Doppler history are also calculated.

ISSN:0143-1161    

DOI:10.1080/01431169408954245

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

摘要:

An empirical study of the relation between the AIRSAR's signals and land surface parameters is conducted using data collected during MACEUROPE' 91. General additive regression models are fitted to the data simulated from a calibrated microwave backscattering model. A comparison between the model predictions and field observations indicates that the regression models are good predictors to the AIRSAR's signals over the grass-covered areas. Based on the regression relationships, a soil moisture retrieval algorithm combining the Lvband multi-polarization AIRSAR data is proposed and used to create spatial soil moisture maps of the Slapton Wood catchment.

ISSN:0143-1161    

DOI:10.1080/01431169408954246

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

ISSN:0143-1161    

DOI:10.1080/01431169408954247

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor