Resolution-enhanced remote sensing via multi spectral and spatial data fusion

作者: Eran Gur , Zeev Zalevsky

DOI: 10.1080/19479832.2010.551520

关键词:

摘要: Super-resolution and image enhancement are frequently sought for in remote sensing. Many approaches were used over the years to obtain this yearned enhancement. In article, authors present a novel super-resolution approach based on iterative data fusion algorithms. The proposed algorithm can be implemented using either plurality of images with varied resolution generated from different regions field view, or spectral same region. suggested is gradual, allowing build-up one single high-resolution (HR) image. procedure article ping-pong computation between spatial domain its distribution, similar by Gerchberg Saxton, later Papoulis; however, new makes use dynamic parameters. dynamic-iterative enables retrieval HR which mostly contain low-resolution (LR) images. both appro...

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