<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-GELCWGR4</identifier><date>2023</date><creator>Chen, Guang Yi</creator><creator>Krzyzak, Adam</creator><creator>Qian, Shen-En</creator><relation>documents/doc/G/URN_NBN_SI_doc-GELCWGR4_001.pdf</relation><relation>documents/doc/G/URN_NBN_SI_doc-GELCWGR4_001.txt</relation><format format_type="issue">2</format><format format_type="volume">42</format><format format_type="type">article</format><format format_type="extent">str. 93-99</format><identifier identifier_type="DOI">105566/ias.2928</identifier><identifier identifier_type="ISSN">1580-3139</identifier><identifier identifier_type="COBISSID">244814339</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-GELCWGR4</identifier><language>eng</language><publisher publisher_location="Ljubljana">Društvo za stereologijo in kvantitativno analizo slike, Medicinska fakulteta</publisher><source>Image analysis and stereology</source><rights>BY</rights><subject language_type_id="slv">analiza glavnih komponent</subject><subject language_type_id="eng">edge preserving features (EPFs)</subject><subject language_type_id="eng">hyperspectral image (HSI) classification</subject><subject language_type_id="slv">klasifikacija hiperspektralnih slik</subject><subject language_type_id="slv">minimalni delež šuma</subject><subject language_type_id="eng">minimum noise fraction (MNF)</subject><subject language_type_id="eng">principal component analysis (PCA)</subject><subject language_type_id="slv">stroj podpornih vektorjev</subject><subject language_type_id="eng">support vector machine (SVM)</subject><subject language_type_id="slv">značilnosti ohranjanja robov</subject><title>Noise robust hyperspectral image classification with MNF-based edge preserving features</title></Record>