دورية أكاديمية
Exploiting Low-Rank and Sparse Properties in Strided Convolution Matrix for Pansharpening
| العنوان: | Exploiting Low-Rank and Sparse Properties in Strided Convolution Matrix for Pansharpening |
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| المؤلفون: | Feng Zhang, Haoran Zhang, Kai Zhang, Yinghui Xing, Jiande Sun, Quanyuan Wu |
| المصدر: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 2649-2661 (2021) |
| بيانات النشر: | IEEE, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Ocean engineering LCC:Geophysics. Cosmic physics |
| مصطلحات موضوعية: | Image fusion, low-rank and sparse priors, multispectral image, panchromatic (PAN) image, strided convolution matrix (SCM), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809 |
| الوصف: | Fusion of low spatial resolution multispectral (LR MS) and panchromatic (PAN) images to acquire high spatial resolution multispectral (HR MS) images has attracted increasing attention in recent years. In this article, we first utilize the form of convolution matrix (CM) to formulate the image fusion problem. In order to reduce the complexity of CM, the step size is introduced and strided convolution matrix (SCM) is constructed. Then, we explore the low-rank property in SCM and impose the prior on the spatial and spectral degradation model of LR MS and PAN images. Meanwhile, sparsity in SCM is considered to further enhance the local structures in the fused image. Finally, the proposed model is optimized efficiently by the alternative direction method of multipliers. By exploiting the low-rank and sparse priors in SCM of HR MS image, the local and global structures can be better preserved. The experimental results on the reduced-resolution and full-resolution datasets also show that the proposed method behaves well in qualitative and quantitative assessments. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2151-1535 |
| Relation: | https://ieeexplore.ieee.org/document/9351613/; https://doaj.org/toc/2151-1535 |
| DOI: | 10.1109/JSTARS.2021.3058158 |
| URL الوصول: | https://doaj.org/article/a79e562a1a4f4be58ec60ee637033321 |
| رقم الأكسشن: | edsdoj.79e562a1a4f4be58ec60ee637033321 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 21511535 |
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| DOI: | 10.1109/JSTARS.2021.3058158 |