Fachinformationsdienst BAUdigital

A platform for research: civil engineering, architecture and urbanism

    Peer-reviewed Articles - Principal Component Analysis for Hyperspectral Image Classification

    New search for: Rodarmel, Craig
    New search for: Shan, Jie

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Peer-reviewed Articles - Principal Component Analysis for Hyperspectral Image Classification

    New search for: Rodarmel, Craig
    New search for: Shan, Jie

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Peer-reviewed Articles - Principal Component Analysis for Hyperspectral Image Classification

    New search for: Rodarmel, Craig
    New search for: Shan, Jie

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Access

    Access via TIB
    Check availability in my library
    Order at Subito €

    Page navigation

    Document information
    Similar titles

    Export, share and cite

    Document information
    Title:

    Peer-reviewed Articles - Principal Component Analysis for Hyperspectral Image Classification

    Contributors:

    Rodarmel, Craig (author) / Shan, Jie

    Published in:

    Surveying and land information science ; 62

    Publication date:

    2002

    ISSN:

    1538-1242

    Type of media:

    Article (Journal)

    Type of material:

    Print

    Language:

    English

    Keywords:

    Geodäsie , USA , Zeitschrift

    Classification:

    BKL:  38.73 / 74.41 / 38.73 Geodäsie / 74.41 Luftaufnahmen, Photogrammetrie

    Similar titles

    Principal Component Analysis for Hyperspectral Image Classification

    Rodarmel, C. / Shan, J. | British Library Online Contents | 2002

    Peer-Reviewed Articles - Correspondence Analysis for Principal Components Transformation of Multispectral and Hyperspectral Digital Images - Correspondence analysis captures 96 percent of the original image variance in its first principal component

    Carr, James R. | Online Contents | 1999

    Peer-Reviewed Articles - Introduction

    Loveland, Thomas R. | Online Contents | 1999

    Peer Reviewed Articles - Foreword

    Online Contents | 1993

    Peer-Reviewed Articles - Introduction

    Gulch, Eberhard | Online Contents | 1999

    Back to top