Spectral-based regression model for destriping of abnormal pixel values in PRISMA hyperspectral image-Reference-Cited by-同舟云学术

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Spectral-based regression model for destriping of abnormal pixel values in PRISMA hyperspectral image

Published:2022-11-20 Issue:1 Volume:55 Page:622-643
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Sajadi Payam¹,Gholamnia Mehdi²,Bonafoni Stefania³,Pilla Francesco¹^ORCID

Affiliation:

1. Spatial Dynamics Lab, School of Architecture, Planning and Environmental Policy, University College Dublin, Dublin 4, D04 V1W8, Ireland

2. Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, 6617715175, Iran

3. Department of Engineering, University of Perugia, Perugia, Italy

Funder

OPERANDUM, The European Union’s Horizon 2020 Project

Publisher

Informa UK Limited

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2022.2141659

Reference61 articles.

1. Reconstruction the Missing Pixels for Landsat ETM+SLC-off Images Using Multiple Linear Regression Model

2. Subspace-Based Striping Noise Reduction in Hyperspectral Images

3. A comparison of conventional and geostatistical methods to replace clouded pixels in NOAA-AVHRR images

4. Assessment of PRISMA Level-2 Hyperspectral Imagery for Large Scale Satellite-Derived Bathymetry Retrieval

5. Radiometric equalization of nonperiodic striping in satellite data

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluation of PRISMA Products Over Snow in the Alps and Antarctica;Earth and Space Science;2024-07

2. Automated Pixel Purification for Delineating Pervious and Impervious Surfaces in a City Using Advanced Hyperspectral Imagery Techniques;IEEE Access;2024

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