A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Detecting Covariance Symmetries in Polarimetric SAR Images
The availability of multiple images of the same scene acquired with the same radar but with different polarizations, both in transmission and reception, has the potential to enhance the classification, detection, and/or recognition capabilities of a remote sensing system. A way to take advantage of the full-polarimetric data is to extract, for each pixel of the considered scene, the polarimetric covariance matrix, the coherence matrix, and the Muller matrix and to exploit them in order to achieve a specific objective. A framework for detecting covariance symmetries within polarimetric synthetic aperture radar (SAR) images is here proposed. The considered algorithm is based on the exploitation of special structures assumed by the polarimetric coherence matrix under symmetrical properties of the returns associated with the pixels under test. The performance analysis of the technique is evaluated on both simulated and real L-band SAR data, showing a good classification level of the different areas within the image.
Detecting Covariance Symmetries in Polarimetric SAR Images
The availability of multiple images of the same scene acquired with the same radar but with different polarizations, both in transmission and reception, has the potential to enhance the classification, detection, and/or recognition capabilities of a remote sensing system. A way to take advantage of the full-polarimetric data is to extract, for each pixel of the considered scene, the polarimetric covariance matrix, the coherence matrix, and the Muller matrix and to exploit them in order to achieve a specific objective. A framework for detecting covariance symmetries within polarimetric synthetic aperture radar (SAR) images is here proposed. The considered algorithm is based on the exploitation of special structures assumed by the polarimetric coherence matrix under symmetrical properties of the returns associated with the pixels under test. The performance analysis of the technique is evaluated on both simulated and real L-band SAR data, showing a good classification level of the different areas within the image.
Detecting Covariance Symmetries in Polarimetric SAR Images
Pallotta, Luca (author) / Clemente, Carmine / De Maio, Antonio / Soraghan, John J
2017
Article (Journal)
English
Local classification TIB:
770/3710/5670
BKL:
38.03
Methoden und Techniken der Geowissenschaften
/
74.41
Luftaufnahmen, Photogrammetrie
Detecting Covariance Symmetries in Polarimetric SAR Images
| Online Contents | 2016
Calibration of SAR Polarimetric Images by Means of a Covariance Matching Approach
| Online Contents | 2015
Covariance Statistics of Polarimetric Brightness Temperature Measurements
| Online Contents | 2008
Adaptive Model-Based Decomposition of Polarimetric SAR Covariance Matrices
| Online Contents | 2011
A Coding Algorithm for the Covariance Matrix Representation of Polarimetric Radar Data
| Online Contents | 1993