Segmenting dynamic contrast enhanced-MRI series of small animal, which are intrinsically noisy and low contrasted images with low resolution, is the aim of this paper. To do this, a segmentation method taking into account the temporal (spectral) and
n Architecture for the Compression of Hyperspectral Imagery.- Lossless Predictive Compression of Hyperspectral Images.- Lossless Hyperspectral Image Compression via Linear Prediction.- Lossless Compression of Ultraspectral Sounder Data.- Locally Opt
这是一篇关于张量分解的文章 In this paper, an effective CANDECOMP/PARAFAC tensor-based compression (CPTBC) approach is proposed for on-ground hyperspectral images (HSIs). By considering the observed HSI cube as a whole three-order tensor, the proposed CPTBC metho
Whereas the transform coding algorithms have been proved to be efficient and practical for grey-level and color images compression, they could not directly deal with the hyperspectral images (HSI) by simultaneouslyconsidering both the spatial and spe
Modern methods of infrared, visible light or UV-light imaging are used in many fields of science, starting with astronomy through biophysics, physics, geography and ending with medicine. One such method allowing for imaging in a wide wavelength spec
Hyperspectral laser-induced fluorescence imaging for nondestructive assessing soluble solids content of orange，刘木华，Shufen Hu，Fluorescence imaging is a promising technique for assessing postharvest quality of fruit. This paper reports on using a hyper
A hyperspectral imaging system is developed to detect dichlorvos residue on the surface of navel orange. After acquiring hyperspectral images of 400 navel oranges, the actual content of dichlorvos residue is measured by gas chromatography. Optimal wa
Many remote sensing image classifiers are limited in their ability to combine spectral features with spatial features. Multi-kernel classifiers, however, are capable of integrating spectral features with spatial or structural features using multiple
