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A hyperspectral image projector for hyperspectral imagers
SPIE Proceedings, 2007We have developed and demonstrated a Hyperspectral Image Projector (HIP) intended for system-level validation testing of hyperspectral imagers, including the instrument and any associated spectral unmixing algorithms. HIP, based on the same digital micromirror arrays used in commercial digital light processing (DLP*) displays, is capable of projecting
Joseph P. Rice +3 more
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Snapshot hyperspectral imaging
Integrated Computational Imaging Systems, 2001Hyperspectral imaging associates a densely sampled spectral signature with each pixel in an imager’s field of view. The collected image data are in the form of a three-dimensional data set, i.e., an image cube. The image cube is also referred to as a hypercube or an object cube.
M.R. Descour +5 more
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Spaceborne Hyperspectral Image Generation based on Airborne Hyperspectral Image
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008In order to support spaceborne hyperspectral sensor system design, an end-to-end simulation model for spaceborne hyperspectral image generation starting from the airborne image has been developed in this paper. Airborne image after being resampled both in the space and spectrum performs as the at-sensor radiance that is the input of the sensor model ...
Junping Zhang +3 more
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Enhanced Visualization of Hyperspectral Images
IEEE Geoscience and Remote Sensing Letters, 2010An enhanced visualization algorithm for hyperspectral images (HSI) is presented in this paper. The visualization is based on the projection onto color matching functions of the human vision system. A contrast enhancement procedure is introduced making use of multiband gradient information.
Zahid Mahmood, Paul Scheunders
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On noise properties in hyperspectral images
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015We focus on considering noise properties in hyperspectral images acquired by different sensors. An initial assumption is that signal-dependent and signal-independent components are present. Using modern methods of blind estimation of noise parameters from images at hand, contributions of signal-dependent and signal-independent noise components are ...
Sergey K. Abramov +5 more
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SPIE Proceedings, 2010
VTT Technical Research Centre of Finland has developed a new low cost hand-held staring hyperspectral imager for applications previously blocked by high cost of the instrumentation. The system is compatible with standard video and microscope lenses. The instrument can record 2D spatial images at several wavelength bands simultaneously.
Aallos, Ville-Veikko +5 more
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VTT Technical Research Centre of Finland has developed a new low cost hand-held staring hyperspectral imager for applications previously blocked by high cost of the instrumentation. The system is compatible with standard video and microscope lenses. The instrument can record 2D spatial images at several wavelength bands simultaneously.
Aallos, Ville-Veikko +5 more
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Sparse Demixing of Hyperspectral Images
IEEE Transactions on Image Processing, 2012In the LMM for hyperspectral images, all the image spectra lie on a high-dimensional simplex with corners called endmembers. Given a set of endmembers, the standard calculation of fractional abundances with constrained least squares typically identifies the spectra as combinations of most, if not all, endmembers.
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Hyperspectral Imaging for Cancer Applications
2023Hyperspectral imaging (HSI) is a well-established technique in remote sensing that has been successfully translated into the medical field, especially for diagnosis and guided surgery. HS images are composed of spatial and spectral information, which are merged together into a three-dimensional array.
Cruz-Guerrero, Ines A. +6 more
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Forest applications with hyperspectral imaging
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012The world's forests generate oxygen and store carbon, mitigating global climate change. Monitoring the health of these forests is an international priority, which benefits from the use of remote sensing. With hyperspectral sensors capable of discerning forest species and foliar chemistry, many forest information products can be generated including maps
David G. Goodenough +4 more
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Hyperspectral image analysis. A tutorial
Analytica Chimica Acta, 2015This tutorial aims at providing guidelines and practical tools to assist with the analysis of hyperspectral images. Topics like hyperspectral image acquisition, image pre-processing, multivariate exploratory analysis, hyperspectral image resolution, classification and final digital image processing will be exposed, and some guidelines given and ...
Amigo Rubio, Jose Manuel +2 more
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