المؤلفون: Zhao, S., Yuan, Q., Li, J., Hu, Y., Liu, X., Zhang, L.

المصدر: IEEE Transactions on Geoscience and Remote Sensing IEEE Trans. Geosci. Remote Sensing Geoscience and Remote Sensing, IEEE Transactions on. 60:1-19 2022

المؤلفون: Wang, C., Xu, M., Jiang, Y., Zhang, G., Cui, H., Li, L., Li, D.

المصدر: IEEE Transactions on Geoscience and Remote Sensing IEEE Trans. Geosci. Remote Sensing Geoscience and Remote Sensing, IEEE Transactions on. 60:1-14 2022

المؤلفون: Xiangyang Kong, Yongqiang Zhao, Jize Xue, Jonathan Cheung-Wai Chan, Seong G. Kong

المصدر: Remote Sensing, Vol 12, Iss 4, p 704 (2020)

مصطلحات موضوعية: hyperspectral image destriping, non-convex optimization, mean cross-track profile, padmm, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/12/4/704; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/be941496e9d84c438192910ba3b6b0cf

لا يتم عرض هذه النتيجة على الضيوف.
تسجيل الدخول للوصول الكامل.

لا يتم عرض هذه النتيجة على الضيوف.
تسجيل الدخول للوصول الكامل.

المؤلفون: Rupert Müller, Daniele Cerra, Peter Reinartz

المصدر: IGARSS

مصطلحات موضوعية: Hyperspectral imaging, Computer science, image denoising, Noise reduction, drop out artifacts, inpainting, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Inpainting, reconstruction error, image restoration, Spectral line, hypespectral images, unmixing based denoising, remote sensing, denoising, Computer vision, Materials, Signal to noise ratio, Pixel, business.industry, hyperspectral data, Pattern recognition, image reconstruction, hyperspectral image inpainting, geophysical image processing, Computer Science::Computer Vision and Pattern Recognition, hyperspectral image destriping, Three-dimensional displays, Artificial intelligence, business, Spectral unmixing, destriping

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96f9750e899610a07386d9c1019dd0d8
https://elib.dlr.de/92837/