Improving Hypersharpening for WorldView-3 Data
Autor: | Stefano Baronti, Leonardo Santurri, Massimo Selva |
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Rok vydání: | 2019 |
Předmět: |
Computer science
0211 other engineering and technologies Hyperspectral imaging pansharpening 02 engineering and technology Geotechnical Engineering and Engineering Geology image fusion remote sensing Hypersharpening WorldView-3 Electrical and Electronic Engineering Algorithm Image resolution 021101 geological & geomatics engineering |
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 |
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