Performance indicators for the statistical evaluation of digital image classifications

G. D'Urso; M. Menenti

doi:10.1016/0924-2716(95)00004-6

Performance indicators for the statistical evaluation of digital image classifications

G. D'Urso, M. Menenti

Research output: Contribution to journal › Article › Academic › peer-review

13 Citations (Scopus)

Abstract

A statistical procedure is proposed to evaluate the algorithms for the numerical classification of images. The approach is based on the derivation of performance indicators from measurements of signature separability and thresholding analysis. Although these measurements are not new in image processing techniques, they are used in this study in an original way for the comparison of outputs resulting from different classification criteria. The theoretical description of the method suggested is followed by its practical application to a case-study for mapping crop coefficients in an irrigation district.

Original language	English
Pages (from-to)	78-90
Journal	ISPRS Journal of Photogrammetry and Remote Sensing
Volume	51
Issue number	2
DOIs	https://doi.org/10.1016/0924-2716(95)00004-6
Publication status	Published - 1996

Keywords

equipment
imagery
photointerpretation
remote sensing

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10.1016/0924-2716(95)00004-6

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abstract = "A statistical procedure is proposed to evaluate the algorithms for the numerical classification of images. The approach is based on the derivation of performance indicators from measurements of signature separability and thresholding analysis. Although these measurements are not new in image processing techniques, they are used in this study in an original way for the comparison of outputs resulting from different classification criteria. The theoretical description of the method suggested is followed by its practical application to a case-study for mapping crop coefficients in an irrigation district.",

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AU - Menenti, M.

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AB - A statistical procedure is proposed to evaluate the algorithms for the numerical classification of images. The approach is based on the derivation of performance indicators from measurements of signature separability and thresholding analysis. Although these measurements are not new in image processing techniques, they are used in this study in an original way for the comparison of outputs resulting from different classification criteria. The theoretical description of the method suggested is followed by its practical application to a case-study for mapping crop coefficients in an irrigation district.

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KW - afbeelden

KW - fotointerpretatie

KW - remote sensing

KW - equipment

KW - imagery

KW - photointerpretation

KW - remote sensing

U2 - 10.1016/0924-2716(95)00004-6

DO - 10.1016/0924-2716(95)00004-6

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JO - ISPRS Journal of Photogrammetry and Remote Sensing

JF - ISPRS Journal of Photogrammetry and Remote Sensing

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ER -

Performance indicators for the statistical evaluation of digital image classifications

Abstract

Keywords

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