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Keng-Hao Liu
Institution:
National Sun Yat-sen University
Observed institutions:
University of Maryland, Baltimore,
National Sun Yat-sen University
ORCID:
0000-0001-9358-6511
Observed ORCID:
0000-0001-9358-6511
OpenAlex ID:
A5039745413
A Motion Deblur Method Based on Multi-Scale High Frequency Residual Image Learning
2020
·
Keng-Hao Liu
, Chia-Hung Yeh
, et al.
·
IEEE Access
·
40
PDF
Linear Spectral Mixture Analysis via Multiple-Kernel Learning for Hyperspectral Image Classification
2014
·
Keng-Hao Liu
, Yen-Yu Lin
, et al.
·
IEEE Transactions on Geoscience and Remote Sensing
·
27
Kernel-based Linear Spectral Mixture Analysis for hyperspectral image classification
2009
·
Keng-Hao Liu
, Englin Wong
, et al.
·
Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing
·
12
A Band Subset Selection Approach Based on Sparse Self-Representation and Band Grouping for Hyperspectral Image Classification
2022
·
Keng-Hao Liu
, Yu-Kai Chen
, et al.
·
Remote Sensing
·
10
PDF
3-D–2-D Hybrid Lightweight CNN Model: Enhancing Canopy Feature Retrieval in Hyperspectral Imaging for Accurate Plant Species Classification
2025
·
Chinsu Lin
, Hung-Yi Chien
, et al.
·
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
·
2
Measuring Changes in Forest Carbon Stocks using an IPCC-Compliant Method with a Competition-Index-Based Volumetric Model and Multi-temporal Airborne Laser Scanning Data
2025
·
Chinsu Lin
, Siao-En Ma
, et al.
·
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Effective Hyperspectral Plant Canopy Image Classification Using an Enhanced Hybrid-CNN
2025
·
Keng-Hao Liu
, Hung-Yi Chien
, et al.
·
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Progressive sample processing of band selection for hyperspectral imagery
2017
·
Hung-Chang Chien
, Shih-Yu Chen
, et al.
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Works count:
8
Citation count:
91
H-index:
4
I10-index:
4
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