期刊
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
卷 56, 期 5, 页码 2526-2538出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2017.2753848
关键词
Dynamic programming; dynamic range reduction; entropy maximization; histogram transformation; image enhancement; synthetic aperture radar (SAR) image
类别
资金
- National Natural Science Foundation of China [61301288, 61672404, 61472301, 61572387, 61632019, 61621005, 61372131]
- Fundamental Research Funds of the Central Universities of China [JBG160228, K5051399020, K5051202050, JB140207]
- Natural Science Basic Research Plan in Shaanxi Province of China [2016ZDJC-08]
The visualization of synthetic aperture radar (SAR) images plays a critical role in remote sensing applications. To effectively obtain the image suitable for human observation, this paper introduces a new SAR image visualization algorithm to map the high dynamic range SAR amplitude values to low dynamic range displays via reflectivity distortion preserved entropy maximization. Its designed objective is to present the maximal amount of information content in the displayed image, and being optimal in an information theoretical sense, as well as restricting the upper bound of the reflection distortion caused by tone mapping. The resulting optimization problem can be graph theoretically modeled as a K-edges maximum weight path problem in a directed acyclic graph, and it can be solved efficiently by dynamic programming in real time. Empirical evidences are provided to demonstrate the superior visual quality obtained by our new visualization technique.
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