Results 121 to 130 of about 1,349 (217)

3-D Sharpened Cosine Similarity Operation for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Due to the advantage of high spectral resolution, hyperspectral imaging techniques have been extensively used in a variety of fields. Hyperspectral images (HSIs) classification is one of the fundamental tasks and attracts significant research interest ...
Xin Qiao, Swalpa Kumar Roy, Weimin Huang
doaj   +1 more source

In ovo sexing with Hyperspectral Imaging (HSI): A nondestructive and non-invasive method

Agroindustrial Science
Poultry farming worldwide presents great development; however, one of the great limitations is the determination of the sex of the embryo in ovo, because on farms birds are raised for two purposes, egg production or meat production, so there is a sex preference.
Juan Ernesto Hernandez-Valdez, Daniel Castro-Salinas, Cesar Eduardo Honorio-Javes, Fredy Marcial Pajuelo-Risco   +3 more
openaire   +1 more source

BJTU-UVA: The First Dataset for Automatic Spectral Calibration of Hyperspectral Images [PDF]

We are proud to introduce BJTU-UVA, the first dataset designed specifically for the task of automatic spectral calibration of hyperspectral images (HSIs).
Computer Vision (IVI, FNWI), You, S., Li, J.   +2 more
core   +1 more source

Multiscale Spatial-Spectral CNN-Transformer Network for Hyperspectral Image Super-Resolution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Remarkable strides have been made in super-resolution methods based on deep learning for hyperspectral images (HSIs), which are capable of enhancing the spatial resolution.
Jiayang Zhang, Hongjia Qu, Junhao Jia, Yaowei Li, Bo Jiang, Xiaoxuan Chen, Jinye Peng   +6 more
doaj   +1 more source

SF-ICNN: Spectral–Fractal Iterative Convolutional Neural Network for Classification of Hyperspectral Images [PDF]

One primary concern in the field of remote-sensing image processing is the precise classification of hyperspectral images (HSIs). Lately, deep-learning models have demonstrated cutting-edge results in HSI classification.
Akbari, Vahid, Behnam Asghari Beirami, Mehran Alizadeh Pirbasti, Alizadeh Pirbasti, Mehran, Asghari Beirami, Behnam, Vahid Akbari   +5 more
core   +1 more source

Edge-Distilled and Local-Global Feature Selection Network for Hyperspectral Image Super-Resolution. [PDF]

Sensors (Basel)
Li X, Fan M, Zheng X, Shang J.
europepmc   +1 more source

Revolutionizing hyper spectral image denoising: a squeezenet paradigm. [PDF]

Sci Rep
Nachimuthu N, Murugesan R, Dharmalingam M, Prakash G.   +3 more
europepmc   +1 more source

Dementia Detection via Retinal Hyperspectral Imaging and Deep Learning: Clinical Dataset Analysis and Comparative Evaluation of Multiple Architectures. [PDF]

Bioengineering (Basel)
Lin WS, Chen CL, Liang SW, Wang HC.
europepmc   +1 more source

Hyperspectral Image Denoising via Quasi-Recursive Spectral Attention and Cross-Layer Feature Fusion. [PDF]

Sensors (Basel)
Xiao Y, Zhou H, Li W, Yang L, Wang K.
europepmc   +1 more source

CSFCNet: Cascaded Spatial-Frequency Convolutional Network for Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Jiang F, Liu X, Li M, Nie T, Huang L.
europepmc   +1 more source