Hyperspectral image classification—Traditional to deep models: A survey for future prospects

M Ahmad, S Shabbir, SK Roy, D Hong… - IEEE journal of …, 2021 - ieeexplore.ieee.org
Hyperspectral imaging (HSI) has been extensively utilized in many real-life applications
because it benefits from the detailed spectral information contained in each pixel. Notably …

Conventional to deep ensemble methods for hyperspectral image classification: A comprehensive survey

F Ullah, I Ullah, RU Khan, S Khan… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Hyperspectral image classification (HSIC) has become a hot research topic. Hyperspectral
imaging (HSI) has been widely used in a wide range of real-world application areas due to …

A survey of intelligent transmission line inspection based on unmanned aerial vehicle

Y Luo, X Yu, D Yang, B Zhou - Artificial Intelligence Review, 2023 - Springer
With the development of the new generation of information technology, artificial intelligence,
cloud computing and big data are gradually becoming powerful engines of the smart grid. In …

S2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification

G Wang, X Zhang, Z Peng, T Zhang… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Land cover analysis using hyperspectral images (HSI) remains an open problem due to their
low spatial resolution and complex spectral information. Recent studies are primarily …

Automatic fault diagnosis of infrared insulator images based on image instance segmentation and temperature analysis

B Wang, M Dong, M Ren, Z Wu, C Guo… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As an onsite condition monitoring method, an infrared inspection can help to discover and
analyze abnormal temperature increases in power equipment. For improving the efficiency …

Deep learning based module defect analysis for large-scale photovoltaic farms

X Li, Q Yang, Z Lou, W Yan - IEEE Transactions on Energy …, 2018 - ieeexplore.ieee.org
The efficient condition monitoring and accurate module defect detection in large-scale
photovoltaic (PV) farms demand for novel inspection method and analysis tools. This paper …

Multi-sensor image fusion: a survey of the state of the art

B Li, Y ** into an important area of research. In remote sensing, the
use of the same image sensor in different working modes, or different image sensors, can …

Desert low-frequency noise suppression by using adaptive DnCNNs based on the determination of high-order statistic

XT Dong, Y Li, BJ Yang - Geophysical Journal International, 2019 - academic.oup.com
The importance of low-frequency seismic data has been already recognized by
geophysicists. However, there are still a number of obstacles that must be overcome for …

Water-quality classification of inland lakes using Landsat8 images by convolutional neural networks

F Pu, C Ding, Z Chao, Y Yu, X Xu - Remote Sensing, 2019 - mdpi.com
Water-quality monitoring of inland lakes is essential for freshwater-resource protection. In
situ water-quality measurements and ratings are accurate but high costs limit their usage …

A spatial-channel progressive fusion ResNet for remote sensing classification

H Zhu, M Ma, W Ma, L Jiao, S Hong, J Shen, B Hou - Information Fusion, 2021 - Elsevier
In recent years, the panchromatic (PAN) and the multispectral (MS) remote sensing images
classification has become a research hotspot. In this paper, we propose a spatial-channel …