Lab color space assignment for decomposed fully polarization Pi-SAR data

Cheng Yen Chiang; Kun Shan Chen; Chih Yuan Chu; Y. Yamaguchi; Kuo Chin Fan

Lab color space assignment for decomposed fully polarization Pi-SAR data

Cheng Yen Chiang
, Kun Shan Chen
, Chih Yuan Chu
, Y. Yamaguchi
, Kuo Chin Fan

Department of Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	ISAP 2016 - International Symposium on Antennas and Propagation
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	626-627
Number of pages	2
ISBN (Electronic)	9784885523137
State	Published - 17 Jan 2017
Event	21st International Symposium on Antennas and Propagation, ISAP 2016 - Ginowan, Okinawa, Japan Duration: 24 Oct 2016 → 28 Oct 2016

Publication series

Name	ISAP 2016 - International Symposium on Antennas and Propagation

Conference

Conference	21st International Symposium on Antennas and Propagation, ISAP 2016
Country/Territory	Japan
City	Ginowan, Okinawa
Period	24/10/16 → 28/10/16

Bibliographical note

Publisher Copyright:
© 2016 IEICE.

Keywords

Four Components Decomposition
Lab Color Space
Pi-SAR
Synthetic Aperture Radar

Cite this

Chiang, C. Y., Chen, K. S., Chu, C. Y., Yamaguchi, Y., & Fan, K. C. (2017). Lab color space assignment for decomposed fully polarization Pi-SAR data. In ISAP 2016 - International Symposium on Antennas and Propagation (pp. 626-627). Article 7821235 (ISAP 2016 - International Symposium on Antennas and Propagation). Institute of Electrical and Electronics Engineers Inc..

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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",

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Chiang, CY, Chen, KS, Chu, CY, Yamaguchi, Y & Fan, KC 2017, Lab color space assignment for decomposed fully polarization Pi-SAR data. in ISAP 2016 - International Symposium on Antennas and Propagation., 7821235, ISAP 2016 - International Symposium on Antennas and Propagation, Institute of Electrical and Electronics Engineers Inc., pp. 626-627, 21st International Symposium on Antennas and Propagation, ISAP 2016, Ginowan, Okinawa, Japan, 24/10/16.

Lab color space assignment for decomposed fully polarization Pi-SAR data. / Chiang, Cheng Yen; Chen, Kun Shan; Chu, Chih Yuan et al.
ISAP 2016 - International Symposium on Antennas and Propagation. Institute of Electrical and Electronics Engineers Inc., 2017. p. 626-627 7821235 (ISAP 2016 - International Symposium on Antennas and Propagation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Chiang, Cheng Yen

AU - Chen, Kun Shan

AU - Chu, Chih Yuan

AU - Yamaguchi, Y.

AU - Fan, Kuo Chin

PY - 2017/1/17

Y1 - 2017/1/17

N2 - 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.

AB - 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.

KW - Four Components Decomposition

KW - Lab Color Space

KW - Pi-SAR

KW - Synthetic Aperture Radar

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BT - ISAP 2016 - International Symposium on Antennas and Propagation

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st International Symposium on Antennas and Propagation, ISAP 2016

Y2 - 24 October 2016 through 28 October 2016

ER -

Lab color space assignment for decomposed fully polarization Pi-SAR data

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