Academic Journal
Pansharpening Based on Convolution Sparse Representation and NSCT
| العنوان: | Pansharpening Based on Convolution Sparse Representation and NSCT |
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| المؤلفون: | Yuting LIU, Fan LIU |
| المصدر: | Taiyuan Ligong Daxue xuebao, Vol 53, Iss 4, Pp 713-720 (2022) |
| بيانات النشر: | Editorial Office of Journal of Taiyuan University of Technology, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Chemical engineering LCC:Materials of engineering and construction. Mechanics of materials LCC:Technology |
| مصطلحات موضوعية: | non-subsampled contourlet transform, remote sensing image, convolution sparse representation, fusion rules, Chemical engineering, TP155-156, Materials of engineering and construction. Mechanics of materials, TA401-492, Technology |
| الوصف: | In order to make full use of the spatial detail information of remote sensing images, a remote sensing image fusion method based on convolution sparse representation and non-subsampled contourlet transform (NSCT) was proposed. First, the convolution sparse representation is used to establish a model to complete the super-resolution of image and achieve the purpose of detail enhancement. Then, the two images are fused, and the super-resolution image and panchromatic image are subjected to NSCT transformation to obtain their respective high-resolution sub-band images and low-resolution sub-band images. Appropriate methods are adopted according to the characteristics of different sub-bands. The new sub-band information is obtained by the fusion rules, and finally the NSCT inverse transform is performed to obtain fusion result. Experiments proved that the fusion image obtained by this method is superior to these of other methods in both visual effects and objective indicators. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English Chinese |
| تدمد: | 1007-9432 |
| Relation: | https://tyutjournal.tyut.edu.cn/englishpaper/show-1905.html; https://doaj.org/toc/1007-9432 |
| DOI: | 10.16355/j.cnki.issn1007-9432tyut.2022.04.016 |
| URL الوصول: | https://doaj.org/article/0a46071707b6412ab737fb6b5d59b4b3 |
| رقم الانضمام: | edsdoj.0a46071707b6412ab737fb6b5d59b4b3 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 10079432 |
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| DOI: | 10.16355/j.cnki.issn1007-9432tyut.2022.04.016 |