Results 31 to 40 of about 112,356 (331)
SICE Journal of Control, Measurement, and System Integration, 2022 Recently, the utilization of hyperspectral images containing several hundred wavelength information has been increasing in various fields. If a hyperspectral image can be estimated from a low-cost RGB image that has only R, G, and B wavelength ...
Ryoji Sato +3 more
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Customizing kernel functions for SVM-based hyperspectral image classification [PDF]
, 2008 Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available algorithms.
Baofeng Guo +4 more
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Hyperspectral Image Database Query Based on Big Data Analysis Technology [PDF]
E3S Web of Conferences, 2021 In this paper, we extract spectral image features from a hyperspectral image database, and use big data technology to classify spectra hierarchically, to achieve the purpose of efficient database matching.
Qi Beixun
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Spectral-spatial multi-layer perceptron network for hyperspectral image land cover classification
European Journal of Remote Sensing, 2022 This paper proposes a novel spectral-spatial multi-layer perceptron network for hyperspectral image land cover classification. Current deep learning-based methods have limitations in spectral and spatial feature representation of hyperspectral images ...
Xiong Tan, Zhixiang Xue
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Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach [PDF]
, 2016 Nowadays, hyperspectral image classification widely copes with spatial information to improve accuracy. One of the most popular way to integrate such information is to extract hierarchical features from a multiscale segmentation.
Chapel, Laetitia +2 more
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Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods [PDF]
, 2013 Hyperspectral images show similar statistical properties to natural grayscale or color photographic images. However, the classification of hyperspectral images is more challenging because of the very high dimensionality of the pixels and the small number
Benediktsson, Jón Atli +3 more
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STACKED LOCAL FEATURE DETECTOR FOR HYPERSPECTRAL IMAGE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Images registration is an important task in hyperspectral image processing, while almost all local feature point based image matching algorithm is designed for single band image only and miss the advantage of abundant spectral information.
Z. Yan, Z. Wu
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High-resolution cathodoluminescence hyperspectral imaging of nitride nanostructures [PDF]
, 2012 Hyperspectral cathodoluminescence imaging provides spectrally and spatially resolved information on luminescent materials within a single dataset. Pushing the technique toward its ultimate nanoscale spatial limit, while at the same time spectrally ...
Chaowang Liu +9 more
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ICTACT Journal on Image and Video Processing, 2022 Hyperspectral images (HSI) have a wide range of spectral information compared to conventional images. This rich spectral information leads to store more information about the image.
K Priya, K K Rajkumar
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Design and realization of a miniaturized high resolution computed tomography imaging spectrometer [PDF]
EPJ Web of Conferences, 2022 The computed tomography imaging spectrometer (CTIS) is a relatively unknown snapshot hyperspectral camera. It utilizes computational imaging approaches to gain the hyperspectral image from a spatiospectral smeared sensor image.
Amann Simon +4 more
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