Imaging spectroscopy for scene analysis: challenges and opportunities
In this study, the authors explore the opportunities, application areas and challenges involving the use of imaging spectroscopy as a means for scene understanding. This is important, since scene analysis in the scope of imaging spectroscopy involves the ability to robustly encode material propertie...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-12-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2010.0205 |
| _version_ | 1797685240968249344 |
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| author | Antonio Robles‐Kelly Bill Simpson‐Young |
| author_facet | Antonio Robles‐Kelly Bill Simpson‐Young |
| author_sort | Antonio Robles‐Kelly |
| collection | DOAJ |
| description | In this study, the authors explore the opportunities, application areas and challenges involving the use of imaging spectroscopy as a means for scene understanding. This is important, since scene analysis in the scope of imaging spectroscopy involves the ability to robustly encode material properties, object composition and concentrations of primordial components in the scene. The combination of spatial and compositional information opens‐up a vast number of application possibilities. For instance, spectroscopic scene analysis can enable advanced capabilities for surveillance by permitting objects to be tracked based on material properties. In computational photography, images may be enhanced taking into account each specific material type in the scene. For food security, health and precision agriculture it can be the basis for the development of diagnostic and surveying tools which can detect pests before symptoms are apparent to the naked eye. This combination of a broad domain of application with the use of key technologies makes the use of imaging spectroscopy a worthwhile opportunity for researchers in the areas of computer vision and pattern recognition. |
| first_indexed | 2024-03-12T00:41:19Z |
| format | Article |
| id | doaj.art-842f831516174b24bb261ec49ad96237 |
| institution | Directory Open Access Journal |
| issn | 1751-9632 1751-9640 |
| language | English |
| last_indexed | 2024-03-12T00:41:19Z |
| publishDate | 2013-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Computer Vision |
| spelling | doaj.art-842f831516174b24bb261ec49ad962372023-09-15T07:13:38ZengWileyIET Computer Vision1751-96321751-96402013-12-017646747710.1049/iet-cvi.2010.0205Imaging spectroscopy for scene analysis: challenges and opportunitiesAntonio Robles‐Kelly0Bill Simpson‐Young1NICTATower A, 7 London CircuitCanberraACT2601AustraliaNICTALevel 5, Australian Technology ParkEveleighNSW2015AustraliaIn this study, the authors explore the opportunities, application areas and challenges involving the use of imaging spectroscopy as a means for scene understanding. This is important, since scene analysis in the scope of imaging spectroscopy involves the ability to robustly encode material properties, object composition and concentrations of primordial components in the scene. The combination of spatial and compositional information opens‐up a vast number of application possibilities. For instance, spectroscopic scene analysis can enable advanced capabilities for surveillance by permitting objects to be tracked based on material properties. In computational photography, images may be enhanced taking into account each specific material type in the scene. For food security, health and precision agriculture it can be the basis for the development of diagnostic and surveying tools which can detect pests before symptoms are apparent to the naked eye. This combination of a broad domain of application with the use of key technologies makes the use of imaging spectroscopy a worthwhile opportunity for researchers in the areas of computer vision and pattern recognition.https://doi.org/10.1049/iet-cvi.2010.0205imaging spectroscopyobject compositionprimordial component concentrationsspatial informationcompositional informationspectroscopic scene analysis |
| spellingShingle | Antonio Robles‐Kelly Bill Simpson‐Young Imaging spectroscopy for scene analysis: challenges and opportunities IET Computer Vision imaging spectroscopy object composition primordial component concentrations spatial information compositional information spectroscopic scene analysis |
| title | Imaging spectroscopy for scene analysis: challenges and opportunities |
| title_full | Imaging spectroscopy for scene analysis: challenges and opportunities |
| title_fullStr | Imaging spectroscopy for scene analysis: challenges and opportunities |
| title_full_unstemmed | Imaging spectroscopy for scene analysis: challenges and opportunities |
| title_short | Imaging spectroscopy for scene analysis: challenges and opportunities |
| title_sort | imaging spectroscopy for scene analysis challenges and opportunities |
| topic | imaging spectroscopy object composition primordial component concentrations spatial information compositional information spectroscopic scene analysis |
| url | https://doi.org/10.1049/iet-cvi.2010.0205 |
| work_keys_str_mv | AT antoniorobleskelly imagingspectroscopyforsceneanalysischallengesandopportunities AT billsimpsonyoung imagingspectroscopyforsceneanalysischallengesandopportunities |