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Open AccessArticle

Color Enhancement for Four-Component Decomposed Polarimetric SAR Image Based on a CIE-Lab Encoding

1
Department of Computer Science and Information Engineering, National Central University, Taoyuan City 32001, Taiwan
2
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 100094, China
3
Department of Computer Sciences, University of California at Santa Barbara, Santa Barbara, CA 93111, USA
4
Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(4), 545; https://doi.org/10.3390/rs10040545
Received: 31 January 2018 / Revised: 14 March 2018 / Accepted: 14 March 2018 / Published: 2 April 2018
(This article belongs to the Special Issue Data Restoration and Denoising of Remote Sensing Data)
Color enhancement of decomposed fully polarimetric synthetic aperture radar (PolSAR) image is vital for visual understanding and interpretation of the polarimetric information about the target. It is common practice to use RGB or HIS color space to display the chromatic information for polarization-encoded, Pauli-basis images, or model-based target decomposition of PolSAR images. However, to represent the chroma for multi-polarization SAR data, the region of basic RGB color space does not fully cover the human perceptual system, leading to information loss. In this paper, we propose a color-encoding framework based on the CIE-Lab, a perceptually uniform color space, aiming at a better visual perception and information exploration. The effective interpretability in increasing chromatic, and thus visual enhancement, is presented using extensive datasets. In particular, the four decomposed components—volume scattering, surface scattering, double bounce, and helix scattering—along with total return power, are simultaneously mapped into the color space to improve the discernibility among the scattering components. The five channels derived from the four-component decomposition method can be simultaneously mapped to CIE-Lab color space intuitively. Results show that the proposed color enhancement not only preserves the color tone of the polarization signatures, but also magnifies the target information embedded in the total returned power. View Full-Text
Keywords: color enhancement; fully polarimetric synthetic aperture radar; color space; CIE-Lab color enhancement; fully polarimetric synthetic aperture radar; color space; CIE-Lab
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MDPI and ACS Style

Chiang, C.-Y.; Chen, K.-S.; Chu, C.-Y.; Chang, Y.-L.; Fan, K.-C. Color Enhancement for Four-Component Decomposed Polarimetric SAR Image Based on a CIE-Lab Encoding. Remote Sens. 2018, 10, 545.

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