Hyperspectral Sensors: Applications

31 Mar 2015
Antonio J. Plaza
Page/Slide Count:
Time: 00:51:07
Both theoretical and implementation aspects are covered, including successful algorithms and case studies. Two main types of techniques are detailed: (1) spectral unmixing, which analyzes the data taking into account the possibility that several different materials are mixed together in one pixel; and (2) classification techniques, whcih assume that the spectral response of each pixel is dominated by a main single substance.

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