A Virtual Dimensionality Method for Hyperspectral Imagery
نویسندگان
چکیده
منابع مشابه
Determining the Dimensionality of Hyperspectral Imagery
There are a number of reasons why reduction of large data sets is necessary, for example the amount of data may be too large for some data mining programs. Something the amount of data may exceed the processing capability of a program, as it is usual in the case of hyperspectral images. The data has generally a large number of variables to analyze, some of which have more input than others. It ...
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Hyperspectral data in Remote Sensing which have been gathered with efficient spectral resolution (about 10 nanometer) contain a plethora of spectral bands (roughly 200 bands). Since precious information about the spectral features of target materials can be extracted from these data, they have been used exclusively in hyperspectral target detection. One of the problem associated with the detect...
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With the development of HyperSpectral Imagery (HSI) technology, the spectral resolution of HSI became denser, which resulted in large number of spectral bands, high correlation between neighboring, and high data redundancy. However, the semantic interpretation is a challenging task for HSI analysis due to the high dimensionality and the high correlation of the different spectral bands. In fact,...
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ژورنال
عنوان ژورنال: Procedia Engineering
سال: 2015
ISSN: 1877-7058
DOI: 10.1016/j.proeng.2015.01.391