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08/07/2023
Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies
Retrofitting and thermographic survey (TS) companies in Scotland collabo...
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07/26/2022
Nondestructive Quality Control in Powder Metallurgy using Hyperspectral Imaging
Measuring the purity in the metal powder is critical for preserving the ...
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11/04/2021
Nondestructive Testing of Composite Fibre Materials with Hyperspectral Imaging : Evaluative Studies in the EU H2020 FibreEUse Project
Through capturing spectral data from a wide frequency range along with t...
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04/15/2019
SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning
The existing Zero-Shot learning (ZSL) methods may suffer from the vague ...
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10/09/2017
Does Normalization Methods Play a Role for Hyperspectral Image Classification?
For Hyperspectral image (HSI) datasets, each class have their salient fe...
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09/12/2017
Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification
Although extreme learning machine (ELM) has been successfully applied to...
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09/08/2017
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification
Although the sparse multinomial logistic regression (SMLR) has provided ...
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09/05/2017