Image Fusion using additive multirresolution wavelets decomposition image merging. Applications to SPOT + LANDSAT images
A technique based on multiresolution wavelet decomposition was developed for the merging and data fusion of a high-resolution panchromatic image and a low-resolution multispectral image. The standard data fusion methods may not be satisfactory, because they can distort the spectral characteristics o...
| Autores: | ; ; ; ; ; |
|---|---|
| Tipo de documento: | Artigo |
| Estado: | Published version |
| Data de publicação: | 1999 |
| País: | España |
| Recursos: | Universidad de Barcelona |
| Repositório: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/218460 |
| Acesso em linha: | https://hdl.handle.net/2445/218460 |
| Nível de acesso: | Acesso aberto |
| Palavra-chave: | Ondetes (Matemàtica) Imatges satel·litàries Satèl·lits Wavelets (Mathematics) Remote-sensing images Satellites |
| _version_ | 1878729398444621824 |
|---|---|
| author | Núñez de Murga, Jorge, 1955- |
| author2 | Otazu Porter, Xavier Fors Aldrich, Octavi Prades, Albert Palà, Vicenç Arbiol, Román |
| author2_role | author author author author author |
| author_browse | Arbiol, Román Fors Aldrich, Octavi Núñez de Murga, Jorge, 1955- Otazu Porter, Xavier Palà, Vicenç Prades, Albert |
| author_facet | Núñez de Murga, Jorge, 1955- Otazu Porter, Xavier Fors Aldrich, Octavi Prades, Albert Palà, Vicenç Arbiol, Román |
| author_role | author |
| collection | Dipòsit Digital de la UB |
| description | A technique based on multiresolution wavelet decomposition was developed for the merging and data fusion of a high-resolution panchromatic image and a low-resolution multispectral image. The standard data fusion methods may not be satisfactory, because they can distort the spectral characteristics of the multispectral data. The method presented here consists of adding the wavelet coefficients of the high-resolution image to the multispectral (low-resolution) data. More specifically, we add the high-order coefficients of the wavelet transform of the panchromatic image to the intensity component (L) of the multispectral image. The method is thus an improvement on standard intensity–hue–saturation (IHS or LHS) mergers. An alternative approach for correcting the red–green–blue coefficients is also discussed. We used the method to merge SPOT and Landsat Thematic Mapper images (SPOT means Système pour l’Observation de la Terre). The technique presented is clearly better than the IHS and LHS mergers for preserving both spectral and spatial information. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_072ecb0a638bfab785c24aac715cfbf7 |
| institution | Universidad de Barcelona |
| instname_str | Universidad de Barcelona |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:diposit.ub.edu:2445/218460 |
| publishDate | 1999 |
| publishDateSort | 1999 |
| publisher | Optical Society of America |
| publisherStr | Optical Society of America |
| reponame_str | Dipòsit Digital de la UB |
| spelling | Image Fusion using additive multirresolution wavelets decomposition image merging. Applications to SPOT + LANDSAT images Núñez de Murga, Jorge, 1955- Otazu Porter, Xavier Fors Aldrich, Octavi Prades, Albert Palà, Vicenç Arbiol, Román Ondetes (Matemàtica) Imatges satel·litàries Satèl·lits Wavelets (Mathematics) Remote-sensing images Satellites A technique based on multiresolution wavelet decomposition was developed for the merging and data fusion of a high-resolution panchromatic image and a low-resolution multispectral image. The standard data fusion methods may not be satisfactory, because they can distort the spectral characteristics of the multispectral data. The method presented here consists of adding the wavelet coefficients of the high-resolution image to the multispectral (low-resolution) data. More specifically, we add the high-order coefficients of the wavelet transform of the panchromatic image to the intensity component (L) of the multispectral image. The method is thus an improvement on standard intensity–hue–saturation (IHS or LHS) mergers. An alternative approach for correcting the red–green–blue coefficients is also discussed. We used the method to merge SPOT and Landsat Thematic Mapper images (SPOT means Système pour l’Observation de la Terre). The technique presented is clearly better than the IHS and LHS mergers for preserving both spectral and spatial information. Optical Society of America https://hdl.handle.net/2445/218460 |
| spellingShingle | Image Fusion using additive multirresolution wavelets decomposition image merging. Applications to SPOT + LANDSAT images Núñez de Murga, Jorge, 1955- Ondetes (Matemàtica) Imatges satel·litàries Satèl·lits Wavelets (Mathematics) Remote-sensing images Satellites |
| status_str | publishedVersion |
| title | Image Fusion using additive multirresolution wavelets decomposition image merging. Applications to SPOT + LANDSAT images |
| title_full | Image Fusion using additive multirresolution wavelets decomposition image merging. Applications to SPOT + LANDSAT images |
| title_fullStr | Image Fusion using additive multirresolution wavelets decomposition image merging. Applications to SPOT + LANDSAT images |
| title_full_unstemmed | Image Fusion using additive multirresolution wavelets decomposition image merging. Applications to SPOT + LANDSAT images |
| title_short | Image Fusion using additive multirresolution wavelets decomposition image merging. Applications to SPOT + LANDSAT images |
| title_sort | Image Fusion using additive multirresolution wavelets decomposition image merging. Applications to SPOT + LANDSAT images |
| topic | Ondetes (Matemàtica) Imatges satel·litàries Satèl·lits Wavelets (Mathematics) Remote-sensing images Satellites |
| topic_facet | Ondetes (Matemàtica) Imatges satel·litàries Satèl·lits Wavelets (Mathematics) Remote-sensing images Satellites |
| url | https://hdl.handle.net/2445/218460 |