HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections
Zhiwei Xiong; Zhan Shi; Huiqun Li; Lizhi Wang; Dong Liu; Feng Wu · 2017 IEEE International Conference on Computer Vision Workshops (ICCVW) · 2017 · Conference publication
Recorded summary
Reference associated with Hyperspectral Imaging via Smartphone.
Recorded limitations
Bibliographic metadata matched; scientific claims await appraisal.
Evidence and provenance
Chapter Trust Factor uses a minimum of three distinct qualifying studies. Publication records retain their own evidence and assessment.
Study design and assessment
- design
- Conference publication
- assessment
- Not recorded
- trust Factor
- scope
- Paper
- status
- unassessed
- score
- Not recorded
- basis
- Bibliographic identity checks do not establish study design, blinding or evidential strength.
- jadad
- status
- unassessed
- score
- Not recorded
- evidence
- Not recorded
Topics and recorded topic scores
- key
- general:spectral-reconstruction
- title
- Computational Imaging and Spectral Reconstruction
- collection
- general
- trust Score
- Not recorded
Citation snapshot and identifiers
- id
- hsi-c850f6777572d4
- doi
- 10.1109/iccvw.2017.68
- pmid
- Not recorded
- citation Snapshot
- Not recorded
- citations By Collection
- general
- Not recorded
Complete approved library record
- id
- hsi-c850f6777572d4
- aliases
- None recorded
- source References
- ref
- NPL-3
- record Id
- hsi-c850f6777572d4
- source Type
- Conference publication
- title
- HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections
- authors
- Zhiwei Xiong; Zhan Shi; Huiqun Li; Lizhi Wang; Dong Liu; Feng Wu
- year
- 2017
- journal
- 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
- doi
- 10.1109/iccvw.2017.68
- pmid
- Not recorded
- pmcid
- Not recorded
- patent Number
- Not recorded
- original Assignee
- Not recorded
- original Citation
- Xiong Z et al. (2017). "HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections." ICCV Workshop 2017
- original Section
- Hyperspectral Imaging via Smartphone
- metadata Status
- metadata-matched
- claim Review
- Not independently appraised
- source URL
- https://www.notion.so/3807b9c99c5680599be7d8337c817b15
- publication URL
- https://doi.org/10.1109/iccvw.2017.68
- metadata URL
- https://api.crossref.org/works?query.title=HSCNN%3A+CNN-Based+Hyperspectral+Image+Recovery+from+Spectrally+Undersampled+Projections&rows=3
- corrections
- None recorded
- topic Id
- spectral-reconstruction
- role
- Focused chapter source
- source Type
- Conference publication
- source Verification
- Bibliographic metadata matched; scientific claims await appraisal.
- source Collection
- Hyperspectral Imaging · patent section 2.4
- title
- HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections
- journal
- 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
- neurotransmitters
- None recorded
- year
- 2017
- authors
- Zhiwei Xiong; Zhan Shi; Huiqun Li; Lizhi Wang; Dong Liu; Feng Wu
- design
- Conference publication
- kind
- Conference publication
- identity Conflict
- Not recorded
- doi
- 10.1109/iccvw.2017.68
- pmid
- Not recorded
- urls
https://doi.org/10.1109/iccvw.2017.68
- collections
general
- categories
Hyperspectral Imaging
- targets
- None recorded
- priority
- 1
- quotes
- None recorded
- summary
- Reference associated with Hyperspectral Imaging via Smartphone.
- limitation
- Bibliographic metadata matched; scientific claims await appraisal.
- citation Count
- Not recorded
- paper Trust Assessment
- scope
- Paper
- status
- unassessed
- score
- Not recorded
- basis
- Bibliographic identity checks do not establish study design, blinding or evidential strength.
- citations By Collection
- general
- Not recorded
- topics
- key
- general:spectral-reconstruction
- title
- Computational Imaging and Spectral Reconstruction
- collection
- general
- trust Score
- Not recorded
- journal Key
- 2017ieeeinternationalconferenceoncomputervisionworkshops
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- 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
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- title
- HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections
- journal
- 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
- year
- 2017
- authors
- Zhiwei Xiong; Zhan Shi; Huiqun Li; Lizhi Wang; Dong Liu; Feng Wu
- design
- Conference publication
- urls
https://doi.org/10.1109/iccvw.2017.68
- quotes
- None recorded
- summary
- Reference associated with Hyperspectral Imaging via Smartphone.
- related Versions
- None recorded
- limitation
- Bibliographic metadata matched; scientific claims await appraisal.
- citation Count
- Not recorded
- source Pages
- None recorded
- doi
- 10.1109/iccvw.2017.68
- pmid
- Not recorded
- targets
- None recorded
- categories
Hyperspectral Imaging
- source References
- ref
- NPL-3
- record Id
- hsi-c850f6777572d4
- source Type
- Conference publication
- title
- HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections
- authors
- Zhiwei Xiong; Zhan Shi; Huiqun Li; Lizhi Wang; Dong Liu; Feng Wu
- year
- 2017
- journal
- 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
- doi
- 10.1109/iccvw.2017.68
- pmid
- Not recorded
- pmcid
- Not recorded
- patent Number
- Not recorded
- original Assignee
- Not recorded
- original Citation
- Xiong Z et al. (2017). "HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections." ICCV Workshop 2017
- original Section
- Hyperspectral Imaging via Smartphone
- metadata Status
- metadata-matched
- claim Review
- Not independently appraised
- source URL
- https://www.notion.so/3807b9c99c5680599be7d8337c817b15
- publication URL
- https://doi.org/10.1109/iccvw.2017.68
- metadata URL
- https://api.crossref.org/works?query.title=HSCNN%3A+CNN-Based+Hyperspectral+Image+Recovery+from+Spectrally+Undersampled+Projections&rows=3
- corrections
- None recorded
- topic Id
- spectral-reconstruction
- role
- Focused chapter source
- source Type
- Conference publication
- source Verification
- Bibliographic metadata matched; scientific claims await appraisal.
- collection
- general
- chapter Number
- 11
- topic Id
- spectral-reconstruction
- topic Title
- Computational Imaging and Spectral Reconstruction
- trust Score
- Not recorded
- paper Trust Assessment
- scope
- Paper
- status
- unassessed
- score
- Not recorded
- basis
- Bibliographic identity checks do not establish study design, blinding or evidential strength.
- jadad
- status
- unassessed
- score
- Not recorded
- condition Evidence
- None recorded
- conditions
- None recorded
- topic Trust Scores
- None recorded
- full Text
- status
- not-indexed
- retrieval Available
- false