Results 1 to 10 of about 2,902 (152)

Improved Transformer Net for Hyperspectral Image Classification

Remote Sensing, 2021
In recent years, deep learning has been successfully applied to hyperspectral image classification (HSI) problems, with several convolutional neural network (CNN) based models achieving an appealing classification performance.
Yuhao Qing, Wenyi Liu, Liuyan Feng, Wanjia Gao   +3 more
doaj   +3 more sources

When Lie Groups Meet Hyperspectral Images: Equivariant Manifold Network for Few-Shot HSI Classification [PDF]

Sensors
Hyperspectral imagery (HSI) offers rich spectral signatures and fine-grained spatial structures for remote sensing, but practical HSI classification is often constrained by scarce labels and complex geometric disturbances, including translation, rotation, scaling, and shear.
Haolong Ban, Junchao Feng, Zejin Liu, Yue Jiang, Zhenxing Wang, Jialiang Liu, Yaowen Hu, Yuanshan Lin   +7 more
openaire   +2 more sources

Skin Tone in Hyperspectral Imaging and Its Implications for Fairness in AI. [PDF]

J Biophotonics
This study investigates whether skin tone is systematically encoded in hyperspectral imaging (HSI) data and how this influences AI‐based classification. The results show differences in classification performance across skin tones when using both unsupervised and supervised learning methods, indicating the presence of potential bias. ABSTRACT Artificial
van de Weerd LS, van de Berg NJ, Rijstenberg LL, van de Laar RLO, van Doorn HC, van Beekhuizen HJ.   +5 more
europepmc   +2 more sources

SOFT COMPUTING APPROACHES FOR HYPERSPECTRAL IMAGE CLASSIFICATION [PDF]

ICTACT Journal on Soft Computing, 2020
Hyperspectral image classification is one of the most emerging form of image classification. It is able to convey information about an image in a more detailed way as compared to RGB or multispectral data.
H S Prasantha, Moon Moon Chatterjee, Pasupuleti Sai Roshitha, V Roshitha   +3 more
doaj   +1 more source

ACTL: Asymmetric Convolutional Transfer Learning for Tree Species Identification Based on Deep Neural Network

IEEE Access, 2021
The identification of tree species is of great significance to the sustainable management and utilization of forest ecosystems. Hyperspectral data provide sufficient spectral and spatial information to classify tree species. Convolutional neural networks
Yun Shi, Donghui Ma, Jie Lv, Jie Li
doaj   +1 more source

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, Teng Li, Tong Zhou, Yu Liu, Yuanxi Peng   +4 more
doaj   +1 more source

SquconvNet: Deep Sequencer Convolutional Network for Hyperspectral Image Classification

Remote Sensing, 2023
The application of Transformer in computer vision has had the most significant influence of all the deep learning developments over the past five years.
Bing Li, Qi-Wen Wang, Jia-Hong Liang, En-Ze Zhu, Rong-Qian Zhou   +4 more
doaj   +1 more source

WHU-OHS: A benchmark dataset for large-scale Hersepctral Image classification

International Journal of Applied Earth Observations and Geoinformation, 2022
Hyperspectral image (HSI) classification is one of the most important remote sensing techniques. Currently, the performances of most of the HSI classification networks on the public HSI datasets are overoptimistic (i.e., the overall accuracy exceeds 98 %)
Jiayi Li, Xin Huang, Lilin Tu
doaj   +1 more source

A semi-supervised cycle-GAN neural network for hyperspectral image classification with minimum noise fraction

Journal of Spectral Imaging, 2022
Hyperspectral imaging (HSI) is a popular mode of remote sensing imaging that collects data beyond the visible spectrum. Many classification techniques have been developed in recent years, since classification is the most crucial task in hyperspectral ...
Tatireddy Subba Reddy, Jonnadula Harikiran   +1 more
doaj   +1 more source

CSR-Net: Camera Spectral Response Network for Dimensionality Reduction and Classification in Hyperspectral Imagery

Remote Sensing, 2020
Hyperspectral image (HSI) classification has become one of the most significant tasks in the field of hyperspectral analysis. However, classifying each pixel in HSI accurately is challenging due to the curse of dimensionality and limited training samples.
Yunhao Zou, Ying Fu, Yinqiang Zheng, Wei Li   +3 more
doaj   +1 more source