Kernel-based Linear Spectral Mixture Analysis for hyperspectral image classification. - Keng-Hao Liu; Englin Wong; Chein-I Chang (WHISPERS, 2009)

Dynamic band selection for hyperspectral imagery. - Keng-Hao Liu; Chein-I Chang (IGARSS, 2011)

Progressive Band Dimensionality Expansion and Reduction Via Band Prioritization for Hyperspectral Imagery. - Chein-I Chang; Su Wang 002; Keng-Hao Liu; Mann-Li Chang; Chinsu Lin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2011)

Intelligent Photographing Interface with On-Device Aesthetic Quality Assessment. - Kuo-Yen Lo; Keng-Hao Liu; Chu-Song Chen (ACCV Workshops (2), 2012)

Assessment of photo aesthetics with efficiency. - Kuo-Yen Lo; Keng-Hao Liu; Chu-Song Chen (ICPR, 2012)

Kernel-Based Linear Spectral Mixture Analysis. - Keng-Hao Liu; Englin Wong; Eliza Yingzi Du; Clayton Chi-Chang Chen; Chein-I Chang (IEEE Geosci. Remote. Sens. Lett., 2012)

Real-time progressive band processing of Modified Fully Abundance-Constrained Spectral Unmixing. - Guan-Sheng Huang; Chao-Cheng Wu; Keng-Hao Liu; Chein-I Chang (IGARSS, 2013)

Kernel-Based Weighted Abundance Constrained Linear Spectral Mixture Analysis for Remotely Sensed Images. - Keng-Hao Liu; Englin Wong; Chia-Hsien Wen; Chein-I Chang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Salient object detection via local saliency estimation and global homogeneity refinement. - Hsin-Ho Yeh; Keng-Hao Liu; Chu-Song Chen (Pattern Recognit., 2014)

Progressive Band Selection of Spectral Unmixing for Hyperspectral Imagery. - Chein-I Chang; Keng-Hao Liu (IEEE Trans. Geosci. Remote. Sens., 2014)

Improved Braking Control of the Cooperative Adaptive Cruise Control System in Low Speed Traffic Conditions. - Keng-Hao Liu; Po-Fu Wu; Yu-Shen Tsai; Andy An-Kai Jeng; Kang Li (VTC Fall, 2015)

A band prioritization method based on kernel weights for progressive band umixning of hyperspectral imagery. - Chih-Hung Lai; Keng-Hao Liu (WHISPERS, 2015)

Progressive Band Processing of Linear Spectral Unmixing for Hyperspectral Imagery. - Chein-I Chang; Chao-Cheng Wu; Keng-Hao Liu; Hsian-Min Chen; Clayton Chi-Chang Chen; Chia-Hsien Wen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Linear Spectral Mixture Analysis via Multiple-Kernel Learning for Hyperspectral Image Classification. - Keng-Hao Liu; Yen-Yu Lin; Chu-Song Chen (IEEE Trans. Geosci. Remote. Sens., 2015)

Unsupervised Band Selection Based on Group-Based Sparse Representation. - Hung-Chang Chien; Chih-Hung Lai; Keng-Hao Liu (ACCV Workshops (1), 2016)

Sequential band selection method based on group orthogonal matching pursuit. - Chih-Hung Lai; Chu-Song Chen; Shih-Yu Chen; Keng-Hao Liu (WHISPERS, 2016)

Stingray Detection of Aerial Images Using Augmented Training Images Generated by a Conditional Generative Model. - Yi-Min Chou; Chien-Hung Chen; Keng-Hao Liu; Chu-Song Chen (CVPR Workshops, 2018)

Changing Background to Foreground: An Augmentation Method Based on Conditional Generative Network for Stingray Detection. - Yi-Min Chou; Chien-Hung Chen; Keng-Hao Liu; Chu-Song Chen (ICIP, 2018)

Progressive Sample Processing of Band Selection for Hyperspectral Image Transmission. - Keng-Hao Liu; Shih-Yu Chen; Hung-Chang Chien; Meng-Han Lu (Remote. Sens., 2018)

A Band Subset Selection Approach Based on Self-Sparse Model for Hyperspectral Image Classification. - Meng-Hsien Yang; Meng-Han Lu; Keng-Hao Liu (WHISPERS, 2019)

Mobile photo recommendation system of continuous shots based on aesthetic ranking. - Keng-Hao Liu; Kuo-Yen Lo; Yu-Chieh Kuo; Chu-Song Chen (J. Comput. Lang., 2019)

Detection of The Erosion Area of Lotus Leaf Using Hyperspectral Imaging. - Tzu-Wei Chiu Huang; Keng-Hao Liu; Chih-Cheng Pai; Chinsu Lin; Yang-Chu Chen (ICS, 2020)

Pork Tissue Recognition Using Visible and Near Infrared Hyperspectral Imaging. - Chih-Cheng Pai; Yang-Chu Chen; Keng-Hao Liu; Yuan-Hsun Tsai; Po-Chi Hu; Zong-Hsin Liu (ICS, 2020)

A Motion Deblur Method Based on Multi-Scale High Frequency Residual Image Learning. - Keng-Hao Liu; Chia-Hung Yeh; Juh-Wei Chung; Chuan-Yu Chang (IEEE Access, 2020)

Hybrid Deep Learning Models with Sparse Enhancement Technique for Detection of Newly Grown Tree Leaves. - Shih-Yu Chen; Chinsu Lin; Guan-Jie Li; Yu-Chun Hsu; Keng-Hao Liu (Sensors, 2021)

A Band Subset Selection Approach Based on Sparse Self-Representation and Band Grouping for Hyperspectral Image Classification. - Keng-Hao Liu; Yu-Kai Chen; Tsun-Yang Chen (Remote. Sens., 2022)

Plant Species Recognition Based on Hyperspectral Plant Canopy Images with Deep Learning. - Yu-Kai Chen; Keng-Hao Liu; Chinsu Lin (IGARSS, 2023)

Plant Species Recognition Based on Continual Learning Strategy. - Hung-Yi Chien; Keng-Hao Liu; Chinsu Lin (IGARSS, 2024)

Integrating Sentinel-1&2 and Icesat-2 Data for Forest Canopy Height Estimation and Mapping. - Nova D. Doyog; Chinsu Lin; Keng-Hao Liu (IGARSS, 2024)

3-D-2-D Hybrid Lightweight CNN Model: Enhancing Canopy Feature Retrieval in Hyperspectral Imaging for Accurate Plant Species Classification. - Chinsu Lin; Hung-Yi Chien; Keng-Hao Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)