Images Recognition with Selection of Informative Subspaces by Conjugacy Criterion

The article discusses the technology of images recognition, which uses as a measure of proximity of the conjugation criterion with the so-called reference subspaces formed by training vectors of classes. With use of orthogonal decomposition a geometric interpretation of the proximity measure under c...

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Bibliographic Details
Published in:Pattern recognition and image analysis 2022-09, Vol.32 (3), p.528-532
Main Author: Fursov, V. A.
Format: Article
Language:English
Subjects:
Algorithms
Computer Science
Conjugation
Criteria
Hyperspectral imaging
Image Processing and Computer Vision
Infrared imagery
Infrared imaging
Object recognition
Pattern Recognition
SELECTED PAPERS OF THE 8th INTERNATIONAL WORKSHOP “IMAGE MINING. THEORY AND APPLICATIONS”
Subspaces
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Summary:The article discusses the technology of images recognition, which uses as a measure of proximity of the conjugation criterion with the so-called reference subspaces formed by training vectors of classes. With use of orthogonal decomposition a geometric interpretation of the proximity measure under consideration is given. Based on the discovered properties, an images recognition algorithm is proposed with sequential selection of the most informative reference subspaces. The results of experiments on vegetation recognition on a hyperspectral image are presented. The experiment used images that had been obtained within of the project AVIRIS (Airborne Visible/Infrared Imaging Speсtrometer). The image shows the Indian Pines test field located in the north-west of Indiana, United States.
ISSN:1054-6618
1555-6212
DOI:10.1134/S1054661822030129