Paper
7 March 2003 Supervised classification of coherent and incoherent polarimetric SAR observables: comparison and accuracy assessments
Vito Alberga, Madhukar Chandra, Luca Pipia
Author Affiliations +
Proceedings Volume 4883, SAR Image Analysis, Modeling, and Techniques V; (2003) https://doi.org/10.1117/12.463044
Event: International Symposium on Remote Sensing, 2002, Crete, Greece
Abstract
Classification of Earth surface using SAR observations constitutes an important application of polarimetric SAR. The most promising and investigated polarimetric parameters for such a task have been the Entropy, alpha and Anisotropy (H, α and A) parameters. A similar use of coherent methods, however, appears to have been scarcely considered and remained essentially untested. In this contribution, we wish to address this issue, testing and comparing a wide range of polarimetric SAR parameters, coherent and incoherent, by means of different classification algorithms. An original aspect of this work is also the study of the dependence of the classification results on the varying size of averaging windows of pixels. Such an analysis will permit to prove if the chosen polarimetric parameters provide a description only of "point-like" physical properties of the targets or if they also contain "extended", local information. The investigations to be reported should, therefore, not only reveal a systematic and quantitative assessment of the classification efficacy of different methodologies but also afford their comparison, an exercise, hitherto unavailable in the literature in common knowledge.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vito Alberga, Madhukar Chandra, and Luca Pipia "Supervised classification of coherent and incoherent polarimetric SAR observables: comparison and accuracy assessments", Proc. SPIE 4883, SAR Image Analysis, Modeling, and Techniques V, (7 March 2003); https://doi.org/10.1117/12.463044
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Polarimetry

Scattering

Synthetic aperture radar

Polarization

Radar

Anisotropy

Detection and tracking algorithms

RELATED CONTENT


Back to Top