This paper is concerned with deblurring and spectral analysis of ground-based astronomical images of space objects. A numerical approach is provided for ...
Oct 22, 2024 · This paper is concerned with deblurring and spectral analysis of ground-based astronomical images of space objects.
Abstract. This paper is concerned with deblurring and spectral analysis of ground-based as- tronomical images of space objects.
The main aim of this paper is to study total variation (TV) regularization in deblurring and sparse unmixing of hyperspectral images.
Oct 22, 2024 · The main aim of this paper is to study total variation (TV) regularization in deblurring and sparse unmixing of hyperspectral images.
The main aim of this paper is to study total variation (TV) regularization in deblurring and sparse unmixing of hyperspectral images.
We present a numerical approach for deblurring and sparse unmixing of space objects taken by ground based telescopes. A major challenge for deblurring ...
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[PDF] Dissertation Defense Inverse Problems in Hyperspectral Imaging
www.cs.emory.edu › seminar-00888
We present a numerical approach for deblurring and sparse unmixing of space objects taken by ground based telescopes. A major chal- lenge for deblurring ...
This paper develops image segmentation methods for hyperspectral space object material identification and proposes this method as an alternative to a tensor ...
ABSTRACT. In this paper, we propose a novel algorithm for hyper-spectral. (HS) image deblurring with principal component analysis.