Unmixing of Hyperspectral Data Using Spectral Libraries
نویسندگان
چکیده
منابع مشابه
An Overview of Nonlinear Spectral Unmixing Methods in the Processing of Hyperspectral Data
The hyperspectral imagery provides images in hundreds of spectral bands within different wavelength regions. This technology has increasingly applied in different fields of earth sciences, such as minerals exploration, environmental monitoring, agriculture, urban science, and planetary remote sensing. However, despite the ability of these data to detect surface features, the measured spectrum i...
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In hyperspectral imagery one pixel typically consists of a mixture of the re ectance spectra of several materials, where the mixture coe cients correspond to the abundances of the constituting materials. We assume linear combinations of re ectance spectra with some additive normal sensor noise and derive a probabilistic MAP framework for analyzing hyperspectral data. As the material reectance c...
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Hyperspectral datasets are now a common feature in planetary data, as recent missions have mapped planetary surfaces thanks to spectro-imagers with improved spatial and spectral resolutions. For those instruments the spatial extent of a pixel is usually large enough to have a mixture of various constituents contributing to the spectrum of a single pixel, involving both linear and non-linear mix...
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Hyperspectral imaging, due to providing high spectral resolution images, is one of the most important tools in the remote sensing field. Because of technological restrictions hyperspectral sensors has a limited spatial resolution. On the other hand panchromatic image has a better spatial resolution. Combining this information together can provide a better understanding of the target scene. Spec...
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ژورنال
عنوان ژورنال: International Journal of Environment and Geoinformatics
سال: 2020
ISSN: 2148-9173
DOI: 10.30897/ijegeo.649394