Full spectral imaging

Full spectral imaging (FSI) is a form of imaging spectroscopy and is the successor to hyperspectral imaging.[1] Full spectral imaging was developed to improve the capabilities of remote sensing including Earth remote sensing.

Data acquisition

Whereas hyperspectral imaging acquires data as many contiguous spectral bands, full spectral imaging acquires data as spectral curves. A significant advantage of FSI over hyperspectral imaging is a significant reduction in data rate and volume. FSI extracts and saves only the information that is in the raw data. The information is contained in the shape of the spectral curves. The rate at which data is produced by an FSI system is proportional to the amount of information in the scene/image.

Applications

Full spectral imaging, along with empirical reflectance retrieval and autonomous remote sensing are the components of the new systems for remote sensing and the successor to the Landsat series of satellites of the Landsat program.

gollark: I think it's probably worth it.
gollark: <@651869752012046347> Yes, technology was a mistake. I'm very unhappy that we have much higher life expectancy, quality of life, have reliable clean water and food, can communicate with people remotely really easily, and have much better entertainment than before the industrial era.
gollark: SQLite is a database, just an embedded one.
gollark: I'm going to look into making Node.js use multiple *processes*, and putting SQLite in WAL mode so that it can do multiple reads at once.
gollark: It's SQLite and the application is Node.js. Both of which are totally single-threaded. Which is probably why.

References
  1. Meynart, Roland; Bolton, John F.; Neeck, Steven P.; Shimoda, Haruhisa; Lurie, Joan B.; Aten, Michelle L. (2004). "Full spectral imaging: a revisited approach to remote sensing". 5234: 243. doi:10.1117/12.510485. ISSN 0277-786X. Cite journal requires |journal= (help)


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