Shixiang Li
ABSTRACT
Gene expression programming (GEP) algorithm, as an excellent artificial intelligence algorithm, is very suitable for the discovery of complex functional relationships. This paper proposes a recovery Remote-sensed Image based on the GEP algorithm. It uses a local reference image to recovery a large range of degraded satellite remote sensing images. Firstly, it uses the GEP algorithm to discover the mathematical function relationship between the reference image and the degraded image, and then uses the function relationship to recovery and reconstructs the degraded image. Thereby achieving the purpose of the using reference image is to improve and restore the large range degraded image. The experimental results show that the method can restore the degraded satellite image. In this paper, using the Formosat satellite as the degraded image, and using the drone image as the reference image to verify the paper algorithm. The experimental results show that the method can restore the degraded satellite image.
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Index Terms
- Recovery Remote Sense Image Using the GEP Artificial Intelligence Algorithm
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