October 12, 2021 Figure Closed Access

Rafiezadeh Shahi, Kasra; Rasti, Behnood; Ghamisi, Pedram; Scheunders, Paul; Gloaguen, Richard

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        "name": "Rafiezadeh Shahi, Kasra", 
        "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology", 
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        "name": "Rasti, Behnood", 
        "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology", 
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      {
        "name": "Ghamisi, Pedram", 
        "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology", 
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        "name": "Scheunders, Paul", 
        "affiliation": "Imec-Visionlab, University of Antwerp", 
        "orcid": "0000-0003-2447-4772"
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      {
        "name": "Gloaguen, Richard", 
        "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology", 
        "orcid": "0000-0002-4383-473X"
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    "doi": "10.14278/rodare.1306", 
    "publication_date": "2021-10-12", 
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    "description": "<p>Remote sensing data is contaminated with different types&nbsp;of noise that can severely affect the analysis of this data. Generally, in&nbsp;modern treatment chains of satellite and aerial data,&nbsp;denoising techniques are applied to atmospherically corrected&nbsp;images prior to&nbsp;further analysis (e.g., classification). However, since the noise contaminates the measured radiance at&nbsp;the sensor, it can influence the&nbsp;atmospheric correction in itself&nbsp;and consequently the remaining of the processing chain. In&nbsp;this paper, we compare the performance of&nbsp;a denoising technique, when applied before or after atmospheric correction.&nbsp;Our observations challenge the current de facto paradigm&nbsp;of&nbsp;denoising in a processing chain of spaceborne and airborne&nbsp;remotely sensed images.</p>\n\n<p>&nbsp;</p>", 
    "title": "When is the Right Time to Apply Denoising?", 
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