GPU-Acceleration of High Performance CIE-Lab Color Space Conversion for Fully Polarimetric Synthetic Aperture Radar Images

• Main Authors: Zheng-Hui Lin, 林政輝
• Other Authors: 于治平
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/4b52y9

碩士 === 國立臺北科技大學 === 電機工程系所 === 105 === 　　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. It is a common practice to use RGB or HIS color space to display the chromatic information for polarization-encoded model-based target　decomposition of PolSAR images. However, to express the multi partial Pol SAR’s chroma, the basic RGB area is not cover all the perception system of human. Our research used the frame of color distribution which based on the evenly CIE-Lab color space, for better visual aware and information explanation. Let color have strongly visual explanation which through every kinds of parameter. The new color distribution not only keep the pole feature’s color but also enhance the total power of target’s information. But it spends much time to converse the color space from PolSAR image. Thus, we adopt the Compute Unified Device Architecture (CUDA) which is parallel structure of Graphics Processing Units (GPU) to speed up the transferring-time. The experimental result shows that we do the data’s conversion with parallel structure not only can be more efficient on the running time than using CPU but get the correct color space.