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Jenicka et al., 2014 - Google Patents

A textural approach for land cover classification of remotely sensed image

Jenicka et al., 2014

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Document ID
1964546206528656705
Author
Jenicka S
Suruliandi A
Publication year
Publication venue
CSI transactions on ICT

External Links

Snippet

Texture features play a vital role in land cover classification of remotely sensed images. Local binary pattern (LBP) is a texture model that has been widely used in many applications. Many variants of LBP have also been proposed. Most of these texture models …
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
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    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
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