Benefit of Xpol for urban classification using SAR images
Document Type
Conference Proceeding
Publication Date
11-14-2019
Department
Michigan Tech Research Institute
Abstract
This article illustrates the benefit of crosspolarization, both in intensity and in phase, to discriminate urban areas and vegetation when there is an ambiguity while using the Pauli decomposition. This ambiguity occurs when buildings are rotated with respect to the sensor trajectory. In this case, we show that because the dissymetry is not of the same nature (deterministic vs quasi-random), it is then possible to discriminate these two environments.
Publication Title
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
Recommended Citation
Guinvarc’h, R.,
Thirion-Lefevre, L.,
&
Atwood, D. K.
(2019).
Benefit of Xpol for urban classification using SAR images.
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 983-985.
http://doi.org/10.1109/IGARSS.2019.8898777
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/1613