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Aero-engine is the heart of an aircraft, and its production quality is the soul of the aero-engine. The production quality of aero-engine is achieved in the process of design, manufacture and management. The key way of promoting the production quality is to improve the design quality, manufacture quality and reliability management. How to format and realize the above key way is introduced in detail...
Hyperspectral data offers a powerful tool for predicting soil heavy metal contamination due to its high spectral resolution and many continuous bands. Band selection, however, is the prerequisite for heavy metal inversion by hyperspectral data. In this study, soil reflectance spectra and their Cu contents were measured for 181 soil samples in the laboratory. Based on these dataset, band selection...
Urbanization, the conversion of other types of land to uses associated with growth of populations and economy, is a main type of land use and land cover change in human history. In recent 30 years, urban growth has been speeded up, and extreme stress to the environment has occurred in China. Based on the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) stable nighttime...
In this paper, a method of evaluating color characteristic of monitors is proposed. A Sony CRT Monitor and an HP LCD Monitor are taken as experimental objects. A series of color patches in RGB mode are first designed to analysis the color characteristic difference between the two monitors. An experiment is done to capture the gamut of the two monitors by measuring the Lab values of the designed color...
Text classification is one of the practices of knowledge discovery. Designation of the classifier is the most important par of text classification. Comparing with the methods based on statistic theory, classification based on rule learning is a better one on some situations. A granular computing approach is proposed to learn rules by constructing a granule network while classifying texts. The algorithm...
Transforms on the spectral domain are often used to compress and extract information of sample features for the supervised classification on hyperspectral images. On condition that the ground samples are all in mass each, there are more obvious advantages on sample classification with obscure spectral features when using Maximum Noise Fraction (MNF) transform, or named two cascaded principal components...
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