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HandWiki. Multispectral Image. Encyclopedia. Available online: https://encyclopedia.pub/entry/30703 (accessed on 21 September 2026).
HandWiki. Multispectral Image. Encyclopedia. Available at: https://encyclopedia.pub/entry/30703. Accessed September 21, 2026.
HandWiki. "Multispectral Image" Encyclopedia, https://encyclopedia.pub/entry/30703 (accessed September 21, 2026).
HandWiki. (2022, October 21). Multispectral Image. In Encyclopedia. https://encyclopedia.pub/entry/30703
HandWiki. "Multispectral Image." Encyclopedia. Web. 21 October, 2022.
Multispectral Image
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The content is sourced from: https://handwiki.org/wiki/Physics:Multispectral_image

Multispectral imaging captures image data within specific wavelength ranges across the electromagnetic spectrum. The wavelengths may be separated by filters or detected with the use of instruments that are sensitive to particular wavelengths, including light from frequencies beyond the visible light range, i.e. infrared and ultra-violet. Spectral imaging can allow extraction of additional information the human eye fails to capture with its visible receptors for red, green and blue. It was originally developed for military target identification and reconnaissance. Early space-based imaging platforms incorporated multispectral imaging technology to map details of the Earth related to coastal boundaries, vegetation, and landforms. Multispectral imaging has also found use in document and painting analysis. Multispectral imaging measures light in a small number (typically 3 to 15) of spectral bands. Hyperspectral imaging is a special case of spectral imaging where often hundreds of contiguous spectral bands are available.

multispectral imaging multispectral spectral imaging

References

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  2. "Primer on IR theory" (in en). https://www.opto-engineering.com/resources/infrared-theory. 
  3. Makki, Ihab; Younes, Rafic; Francis, Clovis; Bianchi, Tiziano; Zucchetti, Massimo (2017-02-01). "A survey of landmine detection using hyperspectral imaging" (in en). ISPRS Journal of Photogrammetry and Remote Sensing 124: 40–53. doi:10.1016/j.isprsjprs.2016.12.009. ISSN 0924-2716. Bibcode: 2017JPRS..124...40M.  https://dx.doi.org/10.1016%2Fj.isprsjprs.2016.12.009
  4. Li, Ning; Zhao, Yongqiang; Pan, Quan; Kong, Seong G. (2018-06-25). "Removal of reflections in LWIR image with polarization characteristics" (in EN). Optics Express 26 (13): 16488–16504. doi:10.1364/OE.26.016488. ISSN 1094-4087. PMID 30119479. Bibcode: 2018OExpr..2616488L.  https://dx.doi.org/10.1364%2FOE.26.016488
  5. Nguyen, Chuong; Havlicek, Joseph; Fan, Guoliang; Caulfield, John; Pattichis, Marios (November 2014). "Robust dual-band MWIR/LWIR infrared target tracking". 2014 48th Asilomar Conference on Signals, Systems and Computers: 78–83. doi:10.1109/ACSSC.2014.7094401. ISBN 978-1-4799-8297-4.  https://dx.doi.org/10.1109%2FACSSC.2014.7094401
  6. "3.1.1. Multispectral and panchromatic images". https://www.stars-project.org/en/knowledgeportal/magazine/remote-sensing-technology/introduction/multispectral-and-panchromatic-images/. 
  7. https://doi.org/10.1175/1520-0450(2001)040<2115:REFACO>2.0.CO;2
  8. Coffey, Valerie C. (1 April 2012). "Multispectral Imaging Moves into the Mainstream". Optics and Photonics News 23 (4): 18. doi:10.1364/OPN.23.4.000018. https://www.osa-opn.org/home/articles/volume_23/issue_4/features/multispectral_imaging_moves_into_the_mainstream/. Retrieved 14 May 2018. 
  9. "What are the band designations for the Landsat satellites?". https://landsat.usgs.gov/what-are-band-designations-landsat-satellites. 
  10. Grolier, Maurice J.; Tibbitts Jr., G. Chase; Ibrahim, Mohammed Mukred (1984). A qualitative appraisal of the hydrology of the Yemen Arab Republic from Landsat images Water Supply Paper 1757-P By. U.S. G.P.O.. p. 19. https://books.google.com/books?id=EK1gAAAAIAAJ&pg=SL16-PA19. Retrieved 14 May 2018. 
  11. Tatem, Andrew J.; Goetz, Scott J.; Hay, Simon I. (2008). "Fifty Years of Earth-observation Satellites". American Scientist 96 (5): 390–398. doi:10.1511/2008.74.390. PMID 19498953.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2690060
  12. "Multispectral vs Hyperspectral Imagery Explained". 2014-07-23. https://gisgeography.com/multispectral-vs-hyperspectral-imagery-explained/. 
  13. Baronti, A. Casini, F. Lotti, and S. Porcinai, Multispectral imaging system for the mapping of pigments in works of art by use of principal-component analysis, Applied Optics Vol. 37, Issue 8, pp. 1299–1309 (1998)
  14. Multispectral imaging at ColourLex http://colourlex.com/project/multispectral-imaging/
  15. "Multi-spectral imaging of the Archimedes Palimpsest". http://archimedespalimpsest.org/about/imaging/. 
  16. Weiskott, Eric. "Multispectral Imaging and Medieval Manuscripts." In The Routledge research companion to digital medieval literature. Boyle, Jennifer E., and Helen J. Burgess. London: Routledge. Pp. 186–96.
  17. Avril, Tom (May 14, 2018). "Scans reveal secrets of medieval 'Harry Potter' book and medical texts at Penn". The Philadelphia Inquirer. http://www.philly.com/philly/health/science/482322202.html. 
  18. Ran, Lingyan; Zhang, Yanning; Wei, Wei; Zhang, Qilin (2017-10-23). "A Hyperspectral Image Classification Framework with Spatial Pixel Pair Features". Sensors 17 (10): 2421. doi:10.3390/s17102421. PMID 29065535.  http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5677443
  19. Biehl, Larry; Landgrebe, David (2002-12-01). "MultiSpec: a tool for multispectral—hyperspectral image data analysis". Computers & Geosciences 28 (10): 1153–1159. doi:10.1016/S0098-3004(02)00033-X. Bibcode: 2002CG.....28.1153B. https://www.researchgate.net/publication/222985553. Retrieved 2017-04-28. 
  20. Jordan, Johannes; Angelopoulou, Elli (2010). Gerbil - A Novel Software Framework for Visualization and Analysis in the Multispectral Domain. Modeling. doi:10.2312/PE/VMV/VMV10/259-266. ISBN 9783905673791.  https://dx.doi.org/10.2312%2FPE%2FVMV%2FVMV10%2F259-266
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