Improving Hypersharpening for WorldView-3 Data

Autor: Stefano Baronti, Leonardo Santurri, Massimo Selva
Rok vydání: 2019
Předmět:
Zdroj: IEEE geoscience and remote sensing letters
16 (2019): 987–991. doi:10.1109/LGRS.2018.2884087
info:cnr-pdr/source/autori:Selva, M.; Santurri, L.; Baronti, S./titolo:Improving Hypersharpening for WorldView-3 Data/doi:10.1109%2FLGRS.2018.2884087/rivista:IEEE geoscience and remote sensing letters (Print)/anno:2019/pagina_da:987/pagina_a:991/intervallo_pagine:987–991/volume:16
ISSN: 1558-0571
1545-598X
Popis: In this letter, hypersharpening is analyzed in depth by investigating some weaknesses present in its formulation. It is shown that the key formula of the synthesized band variant can be simplified under certain circumstances. In addition, a novel fusion schema is proposed. As a result, the gain factor adopted to weight the injected detail is computed in a different way. This schema can be applied to fuse a wide range of hyperspectral and multispectral data. In this letter, its effectiveness is demonstrated by taking into account the characteristics of WorldView-3 data.
Databáze: OpenAIRE