Add to ORKGA polarimetric L-Band data set was classified using Huynen parameters and a self organizing map. The data set was taken by DLR's E-SAR. The classification achieved good results, further improvement are expected for a fully calibrated data set
Segmentation and classification of polarimetric SAR (PolSAR) imagery are very important for interpre...
This work demonstrates the importance of newly available fully polarimetric SAR sensors with frequen...
In this paper, an automatic classification approach for polarimetric covariance structure is derived...
The polarimetric observables in a SAR image possess an intrinsic physical information, what makes po...
The investigations presented in this paper demonstrate the potential of the combination of polarimet...
In the thesis different approaches are proposed for the classification of fully polarimetric SAR dat...
Classification of Earth terrain components within fully polarimetric Synthetic Aperture Radar (SAR) ...
We present a maximum a posteriori (MAP) classifier for classifying multifrequency, multilook, single...
The classification of polarimetric SAR image based on Multiple-Component Scattering Model (MCSM) an...
This paper compares ALOS PALSAR fully polarimetric and dual-polarized data in the application area o...
Feature extraction and comparison of synthetic aperture radar (SAR) data of different modes such as ...
In this paper, we describe a two-step classification scheme for fully polarimetric SAR images. The c...
Classification of Earth surface using SAR observations constitutes an important application of polar...
Two detail-preserving classification algorithms for polarimetric SAR images are proposed and their p...
In this paper, we propose a new method of land use and land cover classification for polarimetric SA...
Segmentation and classification of polarimetric SAR (PolSAR) imagery are very important for interpre...
This work demonstrates the importance of newly available fully polarimetric SAR sensors with frequen...
In this paper, an automatic classification approach for polarimetric covariance structure is derived...
The polarimetric observables in a SAR image possess an intrinsic physical information, what makes po...
The investigations presented in this paper demonstrate the potential of the combination of polarimet...
In the thesis different approaches are proposed for the classification of fully polarimetric SAR dat...
Classification of Earth terrain components within fully polarimetric Synthetic Aperture Radar (SAR) ...
We present a maximum a posteriori (MAP) classifier for classifying multifrequency, multilook, single...
The classification of polarimetric SAR image based on Multiple-Component Scattering Model (MCSM) an...
This paper compares ALOS PALSAR fully polarimetric and dual-polarized data in the application area o...
Feature extraction and comparison of synthetic aperture radar (SAR) data of different modes such as ...
In this paper, we describe a two-step classification scheme for fully polarimetric SAR images. The c...
Classification of Earth surface using SAR observations constitutes an important application of polar...
Two detail-preserving classification algorithms for polarimetric SAR images are proposed and their p...
In this paper, we propose a new method of land use and land cover classification for polarimetric SA...
Segmentation and classification of polarimetric SAR (PolSAR) imagery are very important for interpre...
This work demonstrates the importance of newly available fully polarimetric SAR sensors with frequen...
In this paper, an automatic classification approach for polarimetric covariance structure is derived...