@inproceedings{b2474228fa5f4d99bae9acf1cdf38e0e,
title = "Lab color space assignment for decomposed fully polarization Pi-SAR data",
abstract = "Color encoding or assignment of multi-polarization or fully polarimetric synthetic aperture radar (PolSAR) image is vital for visual display and interpretation of the polarimetric information. In this paper, based on the Lab color space that is uniformly perceptual, we propose a color assignment framework aiming at a better visual perception and information interpretation for Pi-SAR-L Quad-Pol data. It is shown that the new color assignment scheme not only preserves the color tone of the polarization signatures, but also enhances the target information embedded in the total returned power. Using the property the Euclidean distance of color, the five channels derived from four components decomposition method can be mapping to Lab color space intuitively.",
keywords = "Four Components Decomposition, Lab Color Space, Pi-SAR, Synthetic Aperture Radar",
author = "Chiang, {Cheng Yen} and Chen, {Kun Shan} and Chu, {Chih Yuan} and Y. Yamaguchi and Fan, {Kuo Chin}",
note = "Publisher Copyright: {\textcopyright} 2016 IEICE.; 21st International Symposium on Antennas and Propagation, ISAP 2016 ; Conference date: 24-10-2016 Through 28-10-2016",
year = "2017",
month = jan,
day = "17",
language = "???core.languages.en_GB???",
series = "ISAP 2016 - International Symposium on Antennas and Propagation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "626--627",
booktitle = "ISAP 2016 - International Symposium on Antennas and Propagation",
}