Zobrazeno 1 - 10
of 1 856
pro vyhledávání: '"pansharpening"'
Publikováno v:
IET Image Processing, Vol 18, Iss 8, Pp 1950-1966 (2024)
Abstract Pansharpening is a vital technique in remote sensing that combines a low‐resolution multi‐spectral image with its corresponding panchromatic image to obtain a high‐resolution multi‐spectral image. Despite its potential benefits, the
Externí odkaz:
https://doaj.org/article/4258080ea3854f76a9c0023fa0b53f52
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 2, Pp 227-241 (2024)
Pansharpening involves the fusion of panchromatic (PAN) and multispectral (MS) images to obtain a high-resolution image with enhanced spectral and spatial information. Assessing the quality of the resulting fused image poses a challenge due to the ab
Externí odkaz:
https://doaj.org/article/b05f91b52894492e85e90f7207f29111
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14687-14703 (2024)
Pansharpening is a crucial step in various remote sensing tasks, aimed at generating high-resolution multispectral images from panchromatic and low-resolution multispectral images. While deep learning has shown promising results in improving the accu
Externí odkaz:
https://doaj.org/article/bcc7d9933882403781471488461980a3
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14935-14948 (2024)
In the field of remote sensing, it is not feasible to obtain high spatial resolution multispectral (HRMS) images from a single satellite sensor. The existing methods use pansharpening techniques to obtain HRMS images by fusing panchromatic (PAN) and
Externí odkaz:
https://doaj.org/article/1a51b2f552c24aa09bbf7be04c42d693
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13533-13546 (2024)
The goal of pansharpening is to fuse a high spatial resolution panchromatic (PAN) image with a lower spatial resolution multispectral (MS) image to produce a high-resolution multispectral image. Most deep learning-based methods consider only local or
Externí odkaz:
https://doaj.org/article/3d6cea4aef3e434799d36a4992d55de0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13376-13386 (2024)
Multispectral images captured by remote sensing systems usually have low spatial resolution. Pansharpening offers a promising solution by enhancing the resolution of these low-resolution multispectral images to a high-resolution multispectral without
Externí odkaz:
https://doaj.org/article/2c689466a915485ba650db119b6036f4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 833-846 (2024)
Full-resolution quality evaluation model for pansharpened images is significant for remote sensing applications, yet presents a challenge of the absence of reference compared with the reduced-resolution approach. To predict the image quality accurate
Externí odkaz:
https://doaj.org/article/a23e659482c04346ad14f146de22d32b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11521-11535 (2024)
Pansharpening is a process that fuses a multispectral (MS) image with a panchromatic (PAN) image to generate a high-resolution multispectral (HRMS) image. Current methods often overlook scale inconsistency and the correlation within and between a win
Externí odkaz:
https://doaj.org/article/5bc1034ce0434282a6c8451bba211a55
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2705-2717 (2024)
Pansharpening is a fundamental and crucial image processing task for many remote sensing applications, which generates a high-resolution multispectral image by fusing a low-resolution multispectral image and a high-resolution panchromatic image. Rece
Externí odkaz:
https://doaj.org/article/4a4fe6af51c5446d9a2167dcb36a6b6e
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