Hyperspectral unmixing overview: Geometrical, statistical, and sparse regression-based approaches
Imaging spectrometers measure electromagnetic energy scattered in their instantaneous
field view in hundreds or thousands of spectral channels with higher spectral resolution than …
field view in hundreds or thousands of spectral channels with higher spectral resolution than …
Remote sensing image processing
Earth observation is the field of science concerned with the problem of monitoring and
modeling the processes on the Earth surface and their interaction with the atmosphere. The …
modeling the processes on the Earth surface and their interaction with the atmosphere. The …
Hyperspectral image segmentation using a new spectral unmixing-based binary partition tree representation
The binary partition tree (BPT) is a hierarchical region-based representation of an image in a
tree structure. The BPT allows users to explore the image at different segmentation scales …
tree structure. The BPT allows users to explore the image at different segmentation scales …
On endmember identification in hyperspectral images without pure pixels: A comparison of algorithms
Hyperspectral imaging is an active area of research in Earth and planetary observation. One
of the most important techniques for analyzing hyperspectral images is spectral unmixing, in …
of the most important techniques for analyzing hyperspectral images is spectral unmixing, in …
[HTML][HTML] Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data
The remote map** of minerals and discrimination of ore and waste on surfaces are
important tasks for geological applications such as those in mining. Such tasks have …
important tasks for geological applications such as those in mining. Such tasks have …
An active contour model based on fused texture features for image segmentation
Q Wu, Y Gan, B Lin, Q Zhang, H Chang - Neurocomputing, 2015 - Elsevier
Texture image segmentation plays an important role in various computer vision tasks. In this
paper, a convex texture image segmentation model is proposed. First, the texture features of …
paper, a convex texture image segmentation model is proposed. First, the texture features of …
Análisis de imágenes hiperespectrales
Résumé In this paper we present an overview of hyperspectral imagery, its definition, its
creation and acquisition through the basic elements of a remote sensing system, the …
creation and acquisition through the basic elements of a remote sensing system, the …
Ensemble learning in hyperspectral image classification: Toward selecting a favorable bias-variance tradeoff
Automated classification of hyperspectral images is a fast growing field with numerous
applications in the areas of security and surveillance, agriculture, urban management, and …
applications in the areas of security and surveillance, agriculture, urban management, and …
Random projection depth for multivariate mathematical morphology
The open problem of the generalization of mathematical morphology to vector images is
handled in this paper using the paradigm of depth functions. Statistical depth functions …
handled in this paper using the paradigm of depth functions. Statistical depth functions …
Discrimination of schizophrenia auditory hallucinators by machine learning of resting-state functional MRI
Auditory hallucinations (AH) are a symptom that is most often associated with schizophrenia,
but patients with other neuropsychiatric conditions, and even a small percentage of healthy …
but patients with other neuropsychiatric conditions, and even a small percentage of healthy …