Ph.D Thesis

Ph.D Thesis

  • Clustering of Hyperspectral Images

    Anand Mehta, Onkar Dikshit (Supervisor), (2017)

    In remote sensing, hyperspectral images are rich source of information. Hyperspectral imagery contains hundreds of narrow spectral bands which are continuous and regularly spaced in the visible and infrared region of the Electromagnetic spectrum.

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  • Spectral-Spatial Classification of Hyperspectral Imagery

    Brajesh Kumar, Onkar Dikshit (Supervisor), (2017)

    Hyperspectral image classification is an important tool for estimating physical parameters or identifying fine details of materials, objects, and scenes, etc. on the Earth surface. The rich spectral information help to more accurately discriminate the underlying materials or objects.

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