43 research outputs found
Alterações na estrutura anatômica da madeira de cavacos de eucalyptus grandis em três condições de desfibramento para a confecção de painéis MDF
Full text linkPrincipal Component Analysis for Hyperspectral Image Classification
No full textABSTRACT: The availability of hyperspectral images expands the capability of using image classification to study detailed characteristics of objects, but at a cost of having to deal with huge data sets. This work studies the use of the principal component analysis as a preprocessing technique for the classification of hyperspectral images. Two hyperspectral data sets, HYDICE and AVIRIS, were used for the study. A brief presentation of the principal component analysis approach is followed by an examination of the information contents of the principal component image bands, which revealed that only the first few bands contain significant information. The use of the first few principal component images can yield about 70 percent correct classification rate. This study suggests the benefit and efficiency of using the principal component analysis technique as a preprocessing step for the classification of hyperspectral images
Assessing Laser Cleaning of a Limestone Monument by Fiber Optics Reflectance Spectroscopy (FORS) and Visible and Near-Infrared (VNIR) Hyperspectral Imaging (HSI)
No full textA comparative study on manifold learning of hyperspectral data for land cover classification
No full textApplication: Channel detection using principle component spectral analysis (PCSA) method
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Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field
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