LIRRN: Location-Independent Relative Radiometric Normalization of Bitemporal Remote-Sensing Images
Armin Moghimi,
Vahid Sadeghi,
Amin Mohsenifar
et al.
Abstract:Relative radiometric normalization (RRN) is a critical pre-processing step that enables accurate comparisons of multitemporal remote-sensing (RS) images through unsupervised change detection. Although existing RRN methods generally have promising results in most cases, their effectiveness depends on specific conditions, especially in scenarios with land cover/land use (LULC) in image pairs in different locations. These methods often overlook these complexities, potentially introducing biases to RRN results, ma… Show more
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