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Browsing Greinar- HÍ by Journal title "IEEE Transactions on Geoscience and Remote Sensing"
Now showing items 1-6 of 6
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(Institute of Electrical and Electronics Engineers (IEEE), 2020-06)So far, a large number of advanced techniques have been developed to enhance and extract the spatially semantic information in hyperspectral image processing and analysis. However, locally semantic change, such as scene composition, relative position ... -
(IEEE, 2014)Hyperspectral remote sensing images contain hundreds of data channels. Due to the high dimensionality of the hyperspectral data, it is difficult to design accurate and efficient image segmentation algorithms for such imagery. In this paper, a new ...
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(IEEE, 2015-05)A novel feature selection approach is proposed to address the curse of dimensionality and reduce the redundancy of hyperspectral data. The proposed approach is based on a new binary optimization method inspired by fractional-order Darwinian particle ...
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(IEEE Geoscience & Remote Sensing Society, 2016)Remotely sensed images with very high spatial resolution provide a detailed representation of the surveyed scene with a geometrical resolution that, at the present, can be up to 30 cm (WorldView-3). A set of powerful image processing operators have ...
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(IEEE, 2014)Hyperspectral remote sensing technology allows one to acquire a sequence of possibly hundreds of contiguous spectral images from ultraviolet to infrared. Conventional spectral classifiers treat hyperspectral images as a list of spectral measurements ...
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(Institute of Electrical and Electronics Engineers (IEEE), 2017)We present, in this paper, a new methodology for spectral unmixing, where a vector of fractions, corresponding to a set of endmembers (EMs), is estimated for each pixel in the image. The process first provides an initial estimate of the fraction vector, ...
Now showing items 1-6 of 6