LPCN: Lightweight Precise Classification Network for Hyperspectral Remote Sensing Imagery Based on Multiobjective Optimization
Hyperspectral remote sensing image (HSI) has the unique advantages of spectral continuity
as well as synchronous acquisition of both image and spectra of objects, which can achieve …
as well as synchronous acquisition of both image and spectra of objects, which can achieve …
Improved Oscillation Method for High-Frequency Magnetic Core Loss Measurement
D Xiang, Z Sun, H Li, H Hu, H Zhong… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Accurate measurement of magnetic core loss is of great significance for magnetic and
thermal design for power electronic converters operating at high frequencies. However, the …
thermal design for power electronic converters operating at high frequencies. However, the …
Enhancing remote target classification in hyperspectral imaging using graph attention neural network
The method of target classification known as hyperspectral imaging (HSI) is commonly used
in the field of remote sensing. However, recent research has shown that categorizing HSI …
in the field of remote sensing. However, recent research has shown that categorizing HSI …
Hyperspectral Image Classification Using Spectral-Spatial Dual Random Fields with Gaussian and Markov Processes
Y Zhang, L Liu, X Yang - IEEE Journal of Selected Topics in …, 2025 - ieeexplore.ieee.org
This paper presents a novel hyperspectral image (HSI) classification approach that
integrates the Sparse Inducing Variational Gaussian Process (SIVGP) with a spatially …
integrates the Sparse Inducing Variational Gaussian Process (SIVGP) with a spatially …
Design of an Efficient Model for Satellite Image Classification Using Graph Neural Networks and Elephant Herding Optimization
This paper addresses the critical domain of Satellite Image Analysis, crucial for categorizing
images into Forest, Water, and Urban Areas accurately. Existing techniques often yield …
images into Forest, Water, and Urban Areas accurately. Existing techniques often yield …