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TUH-NAS: A Triple-Unit NAS Network for Hyperspectral Image Classification [PDF]
SensorsOver the last few years, neural architecture search (NAS) technology has achieved good results in hyperspectral image classification. Nevertheless, existing NAS-based classification methods have not specifically focused on the complex connection between ...
Feng Chen, Baishun Su, Zongpu Jia
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THE DETECTION OF CONCEALED TARGETS IN WOODLAND AREAS USING HYPERSPECTRAL IMAGERY [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Recent innovations in microelectronic and semiconductor technology enable the creation of smaller and economical hyperspectral cameras. A filter combined camera with advanced scanning module is a game changer that extends the application of miniature ...
S. A. Rodriguez Gonzalez +6 more
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VGC 2023 - Unveiling the dynamic Earth with digital methods : 5th Virtual Geoscience Conference ; Book of Abstracts, 2023 Hyperspectral imaging (HSI) technology is a combination of conventional imaging and spectroscopic techniques, which has a unique ability to simultaneously acquire both the spatial and spectral data of a specimen. The HSI is a novel optical tool in food processing that has a great potential for rapidly identifying bacteria (and possibly other ...
Lorenz, Sandra, Kirsch, Moritz
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The Influence of Image Degradation on Hyperspectral Image Classification
Remote Sensing, 2022 Recent advances in hyperspectral remote sensing techniques, especially in the hyperspectral image classification techniques, have provided efficient support for recognizing and analyzing ground objects.
Congyu Li +3 more
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HYPERSPECTRAL PANORAMIC IMAGING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Abstract. Hyperspectral instruments are designed for the characterisation of planetary surfaces, oceans and the atmosphere. At the moment there are a number of aircraft systems and planned space missions. Examples for this are the hyperspectral missions for Earth remote sensing (EnMAP) and also for deep space and planetary missions (Mercury mission ...
Müller-Rowold, Malte, Reulke, Ralf
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IET Image Processing, 2022 Although hyperspectral data, especially spaceborne images, are rich in spectral information, their spatial resolution is usually low due to the limitation of sensor design and other factors.
Haoyang Yu +5 more
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3D RECONSTRUCTION FROM UAV-BASED HYPERSPECTRAL IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Reconstructing the 3D profile from a set of UAV-based images can obtain hyperspectral information, as well as the 3D coordinate of any point on the profile. Our images are captured from the Cubert UHD185 (UHD) hyperspectral camera, which is a new type of
L. Liu, L. Xu, J. Peng
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Research and Application of Several Key Techniques in Hyperspectral Image Preprocessing
Frontiers in Plant Science, 2021 This paper focuses on image segmentation, image correction and spatial-spectral dimensional denoising of images in hyperspectral image preprocessing to improve the classification accuracy of hyperspectral images.
Yu-hang Li +15 more
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Contrastive Learning Based on Transformer for Hyperspectral Image Classification
Applied Sciences, 2021 Recently, deep learning has achieved breakthroughs in hyperspectral image (HSI) classification. Deep-learning-based classifiers require a large number of labeled samples for training to provide excellent performance.
Xiang Hu +4 more
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HYPERSPECTRAL IMAGE DENOISING WITH CUBIC TOTAL VARIATION MODEL [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Image noise is generated unavoidably in the hyperspectral image acquision process and has a negative effect on subsequent image analysis. Therefore, it is necessary to perform image denoising for hyperspectral images.
H. Zhang
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