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2021, Vol: 8, Issue: 8
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    Hyperspectral Image Classification using Machine Learning Techniques (2022)
    Dr. Satyabrata Dash, Dr. Vadhri Suryanarayana Sujata Chakarvarty Dr. T.M Usha Mr. P.Chakradhar Mrs. S.Nagavali
    JCR. 2022: 204-218

    Abstract

    The recent advancement and popularities of remote sensing technology is increasing day by day. Due to thisthe uses of hyperspectral imaging is also gaining popularity. Feature classification of ground-truthfrom HSI is also a a popular research aspect and a great challenge whichactually attractsmoreresearch attention. In our research, a brief description on image classification models using SVM, with PCA, has been described. The study has been carried upon one common hyperspectral datasets i.e., Indian Pines which comprise various landscape fields like dense vegetation, barren land, grasslands, etc. For noisy band reduction, PCA has been used

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    Volume 9 Issue-2

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