Practical Approach for Hyperspectral Image Processing in Python

Conference object, Article, Other literature type English OPEN
L. Annala; M. A. Eskelinen; J. Hämäläinen; A. Riihinen; I. Pölönen;
  • Publisher: International Society for Photogrammetry and Remote Sensing
  • Journal: issn: 2194-9034, eissn: 2194-9034
  • Publisher copyright policies & self-archiving
  • Related identifiers: doi: 10.5194/isprs-archives-XLII-3-45-2018
  • Subject: image processing | python | data analysis | avoin lähdekoodi | TA1501-1820 | Engineering (General). Civil engineering (General) | Technology | kuvankäsittely | machine learning | TA1-2040 | open source | T | koneoppiminen | Applied optics. Photonics | hyperspectral imaging
    acm: Software_GENERAL

Python is a very popular programming language among data scientists around the world. Python can also be used in hyperspectral data analysis. There are some toolboxes designed for spectral imaging, such as Spectral Python and HyperSpy, but there is a need for anal... View more