Results 41 to 50 of about 1,349 (217)

Hyperspectral Imaging (HSI) in anatomic left liver resection

open access: yesInternational Journal of Surgery Case Reports, 2019
Abstract Introduction Anatomic liver resection is based on the description of functional segments, which rely on the organs arterial and portal venous blood supply. Vascular inflow control of the left liver is performed by occlusion of the left hepatic artery (LHA) and left portal vein (LPV ...
Sucher, Robert   +7 more
openaire   +2 more sources

Deep Tensor Attention Prior Network for Hyperspectral Image Denoising

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Hyperspectral imaging techniques can generate continuous narrowband images with a high spectral resolution. However, owing to environmental disturbances, atmospheric effects, and hardware limitations of hyperspectral imaging sensors, captured ...
Weilin Shen   +3 more
doaj   +1 more source

Maize disease detection based on spectral recovery from RGB images

open access: yesFrontiers in Plant Science, 2022
Maize is susceptible to infect pest disease, and early disease detection is key to preventing the reduction of maize yields. The raw data used for plant disease detection are commonly RGB images and hyperspectral images (HSI).
Jun Fu   +10 more
doaj   +1 more source

Compression and Noise Reduction of Hyperspectral Images using Tucker Decomposition and Discerete Wavelet Transform [PDF]

open access: yes, 2012
International audienceThe compression of hyperspectral images (HSIs) becomes recently very attractive issue for remote sensing applications because of their volumetric data. In this paper, an efficient method for joint hyperspectral image compression and
Karami Robati, Azam   +2 more
core   +1 more source

CSA-MSO3DCNN: Multiscale Octave 3D CNN with Channel and Spatial Attention for Hyperspectral Image Classification

open access: yesRemote Sensing, 2020
3D convolutional neural networks (CNNs) have been demonstrated to be a powerful tool in hyperspectral images (HSIs) classification. However, using the conventional 3D CNNs to extract the spectral−spatial feature for HSIs results in too many ...
Qin Xu, Yong Xiao, Dongyue Wang, Bin Luo
doaj   +1 more source

EnMAP: hyperspectral Imager (HSI) for Earth observation: current status [PDF]

open access: yesInternational Conference on Space Optics — ICSO 2018, 2019
The Environmental Mapping and Analysis Program (EnMAP) is a German space borne science mission that aims at characterizing the Earth’s environment on a global scale. The single payload of the satellite is the Hyperspectral Imager (HSI). It is capable of measuring the solar radiance reflected from the Earth’s surface as a continuous spectrum in the ...
Martin Mücke   +5 more
openaire   +1 more source

HSICityV2: Urban Scene Understanding via Hyperspectral Images [PDF]

open access: yes, 2021
Light in all spectrum travel in the physical world. The trichromatism (RGB) human vision captures and understands it. Machine vision makes an analogy which use RGB camera for semantic segmentation and scene understanding.
Tianqi Ren   +10 more
core   +1 more source

Combining spectral matching and anomalous change detection for target rediscovery in hyperspectral images [PDF]

open access: yes, 2014
In surveillance applications, tracking a specific target by means of subsequent acquisitions over the monitored area is of great interest. Multitemporal HyperSpectral Images (HSIs) are particularly suitable for this application. Multiple HSIs of the same
ROSSI, ALESSANDRO   +7 more
core   +1 more source

Spectral Correlation and Spatial High–Low Frequency Information of Hyperspectral Image Super-Resolution Network

open access: yesRemote Sensing, 2023
Hyperspectral images (HSIs) generally contain tens or even hundreds of spectral segments within a specific frequency range. Due to the limitations and cost of imaging sensors, HSIs often trade spatial resolution for finer band resolution.
Jing Zhang   +5 more
doaj   +1 more source

In vivo evaluation of a hyperspectral imaging system for minimally invasive surgery (HSI-MIS)

open access: yesSurgical Endoscopy, 2023
Abstract Background Hyperspectral Imaging (HSI) is a reliable and safe imaging method for taking intraoperative perfusion measurements. This is the first study translating intraoperative HSI to an in vivo laparoscopic setting using a CE-certified HSI-system for minimally invasive surgery (HSI-MIS).
Madeleine T. Thomaßen   +9 more
openaire   +2 more sources

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