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

Abstract

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.

Face Detection in Crowded Human Images by Bi-Linear Interpolation and Adaptive Histogram Equalization Enhancement

“…A color encoding framework based on CIE-Lab color space was proposed in [4]. It was developed to have a better visual perception and information exploration.…”

“…It was developed to have a better visual perception and information exploration. They used the four decomposed components, surface scattering, helix scattering, volume scattering and double bounce, along with total return power to improve the discernibility among the scattering components [4].…”

Comparing microwave and convective heat treatment methods by applying colour parameters of wine

“…The CIELab system is a very common colour measurement technique in the industry, in the military, in human doctoral practise and in geography science (Cserj esi et al, 2011;Huang et al, 2018;Chiang et al, 2018;Lin et al, 2019). According to Pathare et al (2013) many researchers apply this system in the food industry.…”

Multitemporal SAR RGB Processing for Sentinel-1 GRD Products: Methodology and Applications

“…This fact is particularly new for the SAR community which, for the first time, is experiencing an abundance of data going beyond the most consolidated practices developed in the literature for information extraction and, most of all, the visualization of time series data. Research is now paying an increasing attention to this topic [2]- [7] which is crucial for the expansion of the user community, thus favoring the development of the satellite data downstream market.…”

“…The use of RGB compositions to visualise time-series information and to help the detection of land cover changes has been already exploited in the literature. Leaving aside the polarimetry world, in which color composition of multipolarization channels is more straightforoward and well consolidated in the literature [7], [12], [13], the general trend of the literature on this topic is to exploit temporal color composites to enhance the occurrence of certain phenomena. As an example, [5], [14], used RGB composites to highlight and extract flooded areas.…”