Information compensation on RS image based on a global optimization approach

Jianlin Gu; Renxi Chen; Yuande Jin

doi:10.1117/12.815791

29 December 2008 Information compensation on RS image based on a global optimization approach

Jianlin Gu, Renxi Chen, Yuande Jin

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 728506 (2008) https://doi.org/10.1117/12.815791
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

For information lost phenomenon on RS image, we present a robust completion algorithm based on a single image instead of adopting image placement measure. In order to avoid the occurrence of visually inconsistent results caused by greedy patch-by-patch manner, we creatively introduce GIS accessorial data to guide structure completion and pose this task in the form of a discrete global optimization problem. In the process of implementing this optimization scheme, our method integrates exemplar-based texture synthesis techniques and Dynamic programming algorithm. By this way, Information Compensation is separated into two independent processes to deal with. Comparative Experiments is conducted and prove the efficiency of our method successfully.

Citation Download Citation

Jianlin Gu, Renxi Chen, and Yuande Jin "Information compensation on RS image based on a global optimization approach", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728506 (29 December 2008); https://doi.org/10.1117/12.815791

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KEYWORDS

Remote sensing

Geographic information systems

Computer programming

Visualization

Optimization (mathematics)

Image processing

Image filtering

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