Results 171 to 180 of about 105,347 (307)

SEM-EDS and hyperspectral images of vine leaves treated with antifungal products. [PDF]

Data Brief
Sánchez R, Rad C, Cambra C, Castroviejo MP, Barros R, Herrero Á.   +5 more
europepmc   +1 more source

Evaluation of Nutritional Values of Edible Algal Species Using a Shortwave Infrared Hyperspectral Imaging and Machine Learning Technique

Tiziana Amoriello, Francesco Mellara, Monica Amoriello, Roberto Ciccoritti   +3 more
openalex   +1 more source

PCMamba: Physics-Informed Cross-Modal State Space Model for Dual-Camera Compressive Hyperspectral Imaging [PDF]

Ge Meng, Zhihua Cai, Jr‐Wei Tu, Yingying Wang, Chenxin Li, Yi Huang, Xinghao Ding   +6 more
openalex   +1 more source

A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive memory and computational costs from calculating correlations between all tokens (especially as image size or spectral bands increase) and ...
Yuquan Gan, Siyu Wu, Chang Su, Nan Xiang, Zhijie Xu, Yushan Pan   +5 more
wiley   +1 more source

MSFFNet: Multiscale Feature Fusion Network for Small Target Detection in Remote Sensing Images

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT With the advancement of satellite remote sensing technology, object detection based on high‐resolution remote sensing imagery has emerged as a prominent research focus in the field of computer vision. Although numerous algorithms have been developed for remote sensing image object detection, they still suffer from challenges such as low ...
Hui Zong, Chenbin Wang, Hao Wang, Xin Cheng, Shangbing Gao, Yunyang Yan   +5 more
wiley   +1 more source

The AMEE-PPI Method to Extract Typical Outcrop Endmembers from GF-5 Hyperspectral Images. [PDF]

Sensors (Basel)
Hu L, Hu J, Gan S, Yuan X, Lu Y, Zhao H, Han G.   +6 more
europepmc   +1 more source

Spectral Characteristics and Evolution Mechanism of Silicon Rubber Surface Discharge Under Thermal Ageing Condition

High Voltage, EarlyView.
ABSTRACT Surface discharge is a typical fault type in electric power equipment. High temperature in long‐term operation can easily lead to ageing of materials, resulting in changes in surface characteristics and surface discharge faults. In this paper, a method of surface discharge identification of silicon rubber (SiR) based on spectral detection ...
Yanze Han, Liankang Zhang, Beibei Sun, Lu Liu, Guochang Li, Shengtao Li, Yanhui Wei   +6 more
wiley   +1 more source

Mixed convolutional classification method for hyperspectral images based on spatial spectrum orthogonal constraints and bidirectional attention mechanism. [PDF]

Sci Rep
Wu T, Tan Y.
europepmc   +1 more source

Integrated Learning‐Based Ageing Assessment of Silicone Rubber

High Voltage, EarlyView.
ABSTRACT The surface ageing of silicone rubber composite insulators, widely used in power systems, poses significant challenges. This study integrates Fourier transform infrared (FTIR) spectroscopy with machine learning to evaluate ageing states and explore underlying mechanisms under various environmental conditions.
Xinzhe Yu, Kun Zhang, Zhenan Zhou, Zheyuan Liu, Yu Deng, Chen Gu, Songsong Zhou, Dongxu Sun   +7 more
wiley   +1 more source

Classification of maize seed hyperspectral images based on variable-depth convolutional kernels. [PDF]

Front Plant Sci
Hu Y, Zhang H, Li C, Su Q, Wang W.
europepmc   +1 more source