Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Abdolraheem Khader"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11101-11116 (2024)
Hypersharpening is one of the fusion-based superresolution approaches in remote sensing that improves the spatial and spectral resolution of a hyperspectral image (HSI) with a low spatial resolution. This requirement is achieved by fusing the HSI wit
Externí odkaz:
https://doaj.org/article/56736b2ab8c043a6a4871e5a558939f0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 4607-4625 (2023)
Due to the physical boundaries, fusing low spatial resolution hyperspectral (LrHSI) with high spatial resolution multispectral (HrMSI) images is a hot and promising area for obtaining hyperspectral that have high spatial-spectral resolution images (H
Externí odkaz:
https://doaj.org/article/6249ff94b86e4f0fa8f6bff4e6219cb6
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 638-655 (2023)
The fusion-based super-resolution of hyperspectral images (HSIs) draws more and more attention in order to surpass the hardware constraints intrinsic to hyperspectral imaging systems in terms of spatial resolution. Low-resolution (LR)-HSI is combined
Externí odkaz:
https://doaj.org/article/814ef5c36bee42faa0e955772fd05f5d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 5704-5720 (2022)
The fusion of high-resolution multispectral image (HrMSI) and low-resolution hyperspectral image (LrHSI) has been acknowledged as a promising method for generating a high-resolution hyperspectral image (HrHSI), which is also termed to be an essential
Externí odkaz:
https://doaj.org/article/25b37e15341f4129a84588f77892f5e3
Publikováno v:
International Journal of Remote Sensing. 43:2268-2295
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Publikováno v:
2017 International Conference on Communication, Control, Computing and Electronics Engineering (ICCCCEE).
Content-based image retrieval (CBIR) is a technique uses visual contents such as color, texture and shape to search images from large scale image databases according to users' interest. In a CBIR, visual image content is represented in form of image