Automatic Relative Radiometric Normalization of Bi-Temporal Satellite Images Using a Coarse-to-Fine Pseudo-Invariant Features Selection and Fuzzy Integral Fusion Strategies

Relative radiometric normalization (RRN) is important for pre-processing and analyzing multitemporal remote sensing (RS) images. Multitemporal RS images usually include different land use/land cover (LULC) types; therefore, considering an identical linear relationship during RRN modeling may result...

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Huvudupphovsmän: Armin Moghimi, Ali Mohammadzadeh, Turgay Celik, Brian Brisco, Meisam Amani
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2022-04-01
Serie:Remote Sensing
Ämnen:
multi-temporal satellite images
pseudo-invariant features (PIFs)
relative radiometric normalization (RRN)
image fusion
change detection
Länkar:https://www.mdpi.com/2072-4292/14/8/1777
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