In this paper, a superpixel based unmixing approach for hyperspectral image denoising is proposed. Denoising by unmixing aims to reconstruct the hyperspectral ...
Unmixing based denoising has the potential of providing enhanced denoising performance by excluding the noise effects in the endmember and abundance matrices, ...
This paper proposes a superpixel segmentation and spectral unmixing based denoising and destriping approach for hyperspectral images. Superpixel segmentation ...
Superpixel based unmixing for enhanced hyperspectral denoising · New Divide and Conquer Method on Endmember Extraction Techniques · Sparse filtering based ...
Since we combine PCA with SS, both the spectral and spatial information of HSI is fully taken into consideration, which makes it better than simply dividing the ...
Jan 1, 2018 · Here we present an improved superpixel-based dimensionality reduction approach that accounts for superpixel homogeneity. Homogeneous superpixels ...
Missing: denoising. | Show results with:denoising.
Super- pixels offer a good solution to this problem since they can better characterize such spatial structures. Based on this ob- servation, in this paper we ...
Missing: denoising. | Show results with:denoising.
Jun 21, 2024 · In this paper, an unsupervised unmixing approach based on superpixel representation combined with regional partitioning is presented.
We propose a robust superpixel segmentation strategy to better divide the HSI, which can further enhance the low-rank attribute of the HSI.
Jan 1, 2018 · In this research, we propose to develop an improved superpixel-based low-dimensional representation of a hyperspectral image. First, extracted ...