Jan 10, 2018 · SSIM is a quality assessment index originally designed for 2D greyscale images. Suppose we have two images x and y, both containing N = a × b ...
MvSSIM maintains SSIM's ability to assess the spatial structural similarity via correlation between two images of the same band; and adds an ability to assess ...
Quality assessment indexes play a fundamental role in the analysis of hyperspectral image (HSI) cubes. To assess the quality of an HSI cube, the structural ...
Quality assessment indexes play a fundamental role in the analysis of hyperspectral image (HSI) cubes. To assess the quality of an HSI cube, the structural ...
Bibliographic details on MvSSIM: A quality assessment index for hyperspectral images.
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No-reference hyperspectral image quality assessment via quality-sensitive features learning. ... MvSSIM: A quality assessment index for hyperspectral images.
Feb 18, 2017 · Quality assessment indexes play a fundamental role in the analysis of hy- perspectral image (HSI) cubes. To assess the quality of an HSI ...
In this paper, we propose a novel no-reference HSI quality assessment metric via ranking feature learning (R-NHSIQA), which calculates the Wasserstein distance ...
In this paper, we present a novel, ensemble feature-based full-referenced approach to quantify the quality of remotely sensed hyperspectral images. Our ensemble ...
Jan 10, 2018 · Quality assessment indexes play a fundamental role in the analysis of hyperspectral image (HSI) cubes. To assess the quality of an HSI cube, ...
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