Recovering defective Landsat 7 Enhanced Thematic Mapper Plus images via multiple linear regression model

Autor: Asmaa Sadiq, Ghazali Sulong, Loay Edwar

Publikováno v: IET Computer Vision, Vol 10, Iss 8, Pp 788-797 (2016)

Since 2003, the scan line corrector (SLC) of the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor has failed permanently, inhibiting the retrieval or scanning of 22% of the pixels in each Landsat 7 SLC‐off image. This utter failure has serious

Externí odkaz: https://doaj.org/article/91203cfba5b74f3caf0106ec10cad456

Radiometric Normalization of Multitemporal Landsat and Sentinel-2 Images Using a Reference MODIS Product Through Spatiotemporal Filtering

Autor: Rongjun Qin, Wenxia Gan, Hessah Albanwan

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4000-4013 (2021)

Radiometric normalization is an essential preprocessing step for almost all remote sensing applications such as change detection, image mosaic, and 3-D reconstruction. This article proposes a novel radiometric normalizing method based on spatiotempor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca8be4cf7453f506a960f9fb28d4477c
https://ieeexplore.ieee.org/document/9392311/

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Landsat ETM+ and SAR image fusion based on generalized intensity Modulation

Autor: F. Nencini, Luciano Alparone, Stefano Baronti, Andrea Garzelli

Publikováno v: IEEE transactions on geoscience and remote sensing 42 (2004): 2832–2839. doi:10.1109/TGRS.2004.838344
info:cnr-pdr/source/autori:Luciano Alparone; Stefano Baronti; Andrea Garzelli; Filippo Nencini/titolo:Landsat ETM+ and SAR Image Fusion Based on Generalized Intensity Modulation/doi:10.1109%2FTGRS.2004.838344/rivista:IEEE transactions on geoscience and remote sensing/anno:2004/pagina_da:2832/pagina_a:2839/intervallo_pagine:2832–2839/volume:42

This work presents a novel multisensor image fusion algorithm, which extends panchrmomatic sharpening of multispectral (MS) data through intensity modulation to the integration of MS and synthetic aperture radar (SAR) imagery. The method relies on SA

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9462458b7ac47ff2e8e32098f8f3f5e0
https://doi.org/10.1109/tgrs.2004.838344

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