Results 121 to 130 of about 4,082 (191)

HyperSMamba: A Lightweight Mamba for Efficient Hyperspectral Image Classification

Deep learning has recently achieved remarkable progress in hyperspectral image (HSI) classification. Among these advancements, the Transformer-based models have gained considerable attention due to their ability to establish long-range dependencies ...
Liejun Wang, Lihan Tang, Mengyuan Sun, Shuli Cheng, Shaochen Jiang   +4 more
core   +1 more source

Convolutional Neural Networks Based Hyperspectral Image Classification Method with Adaptive Kernels

, 2017
Hyperspectral image (HSI) classification aims at assigning each pixel a pre-defined class label, which underpins lots of vision related applications, such as remote sensing, mineral exploration and ground object identification, etc.
Ying Li, Chen Ding, Yong Xia, Yanning Zhang, Wei Wei, Lei Zhang   +5 more
core   +1 more source

Capsule Attention Network for Hyperspectral Image Classification

While many neural networks have been proposed for hyperspectral image classification, current backbones cannot achieve accurate results due to the insufficient representation by scalar features and always cause a cumbersome calculation burden.
Yanzhao Su, Aitao Yang, Yao Ding, Yuanliang Xue, Nian Wang, Zhigao Cui   +5 more
core   +1 more source

Dual spectral-spatial residual adaptive network for hyperspectral image classification in the presence of noisy labels

In real-world scenarios, Hyperspectral Image (HSI) datasets introduce potential noise inaccuracies due to multiple annotators. Label noise poses a significant challenge for practical deep learning, yet this issue is largely unexplored.
Sarpong, Kwabena, Islam, Md Saiful, Awrangjeb, Mohammad   +2 more
core   +1 more source

Spatial–Spectral Squeeze-and-Excitation Residual Network for Hyperspectral Image Classification

, 2019
Jointly using spectral and spatial information has become a mainstream strategy in the field of hyperspectral image (HSI) processing, especially for classification.
Li Wang, Jiangtao Peng, Weiwei Sun
core   +1 more source

Superpixel Random Selection Random Walk Multi-Branch Depthwise Convolutional Neural Network for Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Zhang K, Jiang X, Cai Z.
europepmc   +1 more source

Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models. [PDF]

Sci Rep
Fathi G, Mireei SA, Jafari M, Sadeghi M, Karimmojeni H, Nazeri M, Tylewicz U.   +6 more
europepmc   +1 more source

Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications. [PDF]

J Biomed Opt
Tran MH, Ma L, Yuan M, Fei B.
europepmc   +1 more source

HSICNet a novel deep learning architecture for hyperspectral image classification in remote sensing and environmental monitoring. [PDF]

Sci Rep
Purnachand K, Samrin R, Guttikonda JB, Kotoju R, Addepalli PS, Mohan A.   +5 more
europepmc   +1 more source

Intraoperative Multimodal Bowel Perfusion Quantification Combining Hyperspectral Imaging and Indocyanine Green. [PDF]

Diagnostics (Basel)
Thiele G, Pfahl A, Köhler H, Mehdorn M, Stelzner S, Gockel I, Melzer A, Jansen-Winkeln B.   +7 more
europepmc   +1 more source