• 103 Citations
  • 5 h-Index
20132020
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Research Output 2013 2019

  • 103 Citations
  • 5 h-Index
  • 13 Conference contribution
  • 10 Article
  • 1 Book
2019

An Outlier-Insensitive Unmixing Algorithm with Spatially Varying Hyperspectral Signatures

Syu, Y. R., Lin, C-H. & Chi, C. Y., 2019 Jan 1, In : IEEE Access. 7, p. 15086-15101 16 p., 8600733.

Research output: Contribution to journalArticle

Open Access
Spatial distribution
Casting
Pixels

Criterion design and large-scale optimization algorithm for blind change detection in multispectral images

Zheng, W-C., Lin, C-H., Tseng, K-H., Huang, C-Y. & Lin, T-H., 2019 Apr 17, International Symposium on Remote Sensing. Taipei, Taiwan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Panchromatic sharpening of multispectral satellite imagery via an explicitly defined convex self-similarity regularization

Wang, C-H., Lin, C-H., Bioucas-Dias, J. M., Zheng, W-C. & Tseng, K-H., 2019 Jul 28, IEEE IGARSS. Yokohama, Japan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Patch similarity guided super-resolution algorithm for fusing panchromatic and multispectral images

Wang, C-H., Lin, C-H. & Tseng, K-H., 2019 Apr 17, International Symposium on Remote Sensing. Taipei, Taiwan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Regularization parameter selection in minimum volume hyperspectral unmixing

Zhuang, L., Lin, C. H., Figueiredo, M. A. T. & Bioucas-Dias, J. M., 2019 Dec, In : IEEE Transactions on Geoscience and Remote Sensing. 57, 12, p. 9858-9877 20 p., 8798985.

Research output: Contribution to journalArticle

Learning systems
Remote sensing
Tuning
Pixels
matrix

Regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing

Zhuang, L., Lin, C., Figueiredo, M. A. T. & Bioucas-dias, J. M., 2019 Aug 14, In : IEEE Transactions on Geoscience and Remote Sensing. p. 1-20

Research output: Contribution to journalArticle

Unsupervised Change Detection in Multitemporal Multispectral Satellite Images: A Convex Relaxation Approach

Zheng, W. C., Lin, C. H., Tseng, K. H., Huang, C. Y., Lin, T. H., Wang, C. H. & Chi, C. Y., 2019 Jul, 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1546-1549 4 p. 8898598. (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Satellites
Satellite imagery
Speckle
Disasters
Image analysis

Unsupervised change detection in multitemporal multispectral satellite images: A convex relaxation approach

Zheng, W-C., Lin, C-H., Tseng, K-H., Huang, C-Y., Lin, T-H., Wang, C-H. & Chi, C-Y., 2019 Jul 28, IEEE IGARSS. Yokohama, Japan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2018
12 Citations (Scopus)

A Convex Optimization-Based Coupled Nonnegative Matrix Factorization Algorithm for Hyperspectral and Multispectral Data Fusion

Lin, C. H., Ma, F., Chi, C. Y. & Hsieh, C. H., 2018 Mar, In : IEEE Transactions on Geoscience and Remote Sensing. 56, 3, p. 1652-1667 16 p.

Research output: Contribution to journalArticle

Convex optimization
Data fusion
Factorization
matrix
spatial resolution
4 Citations (Scopus)

Detection of Sources in Non-Negative Blind Source Separation by Minimum Description Length Criterion

Lin, C-H., Chi, C. Y., Chen, L., Miller, D. J. & Wang, Y., 2018 Sep 1, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 9, p. 4022-4037 16 p., 8057601.

Research output: Contribution to journalArticle

Blind source separation
Maximum likelihood
Geometry
3 Citations (Scopus)

Linear spectral unmixing via matrix factorization: Identifiability criteria for sparse abundances

Lin, C-H. & Bioucas Dias, J. M., 2018 Oct 31, 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6155-6158 4 p. 8518462. (International Geoscience and Remote Sensing Symposium (IGARSS); vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Factorization
matrix
pixel
Pixels
modeling
3 Citations (Scopus)

Maximum volume inscribed ellipsoid: A new simplex-structured matrix factorization framework via facet enumeration and convex optimization

Lin, C. H., Wu, R., Ma, W. K., Chi, C. Y. & Wang, Y., 2018 Jan 1, In : SIAM Journal on Imaging Sciences. 11, 2, p. 1651-1679 29 p.

Research output: Contribution to journalArticle

Structured Matrices
Matrix Factorization
Convex optimization
Ellipsoid
Convex Optimization
1 Citation (Scopus)

New theory for unmixing ILL-conditioned hyperspectral mixtures

Lin, C-H. & Bioucas Dias, J. M., 2018 Aug 27, 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop, SAM 2018. IEEE Computer Society, p. 430-434 5 p. 8448653. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; vol. 2018-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pixels
Blind source separation
Remote sensing

Provably and robust blind source separation of ill-conditioned hyperspectral mixtures

Lin, C-H. & Bioucas Dias, J. M., 2018 Jun 10, Proc. IEEE Statistical Signal Processing (SSP) Workshop. Freiburg, Germany

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2017

Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications

Chi, C., Li, W. & Lin, C., 2017 Feb 1, Boca Raton: CRC Press. 446 p.

Research output: Book/ReportBook

1 Citation (Scopus)

Outage constrained robust hybrid coordinated beamforming for massive MIMO enabled heterogeneous cellular networks

Xu, G., Lin, C. H., Ma, W. & Chi, C. Y., 2017 Jul 28, 2017 IEEE International Conference on Communications, ICC 2017. Debbah, M., Gesbert, D. & Mellouk, A. (eds.). Institute of Electrical and Electronics Engineers Inc., 7997438. (IEEE International Conference on Communications).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Beamforming
MIMO systems
Outages
Base stations
Heterogeneous networks
5 Citations (Scopus)

Outage Constrained Robust Hybrid Coordinated Beamforming for Massive MIMO Enabled Heterogeneous Cellular Networks

Xu, G., Lin, C. H., Ma, W., Chen, S. & Chi, C. Y., 2017 Jan 1, In : IEEE Access. 5, p. 13601-13616 16 p., 7879806.

Research output: Contribution to journalArticle

Open Access
Beamforming
Outages
Base stations
Heterogeneous networks
Femtocell
2016
23 Citations (Scopus)

A Fast Hyperplane-Based Minimum-Volume Enclosing Simplex Algorithm for Blind Hyperspectral Unmixing

Lin, C. H., Chi, C. Y., Wang, Y. H. & Chan, T. H., 2016 Apr 15, In : IEEE Transactions on Signal Processing. 64, 8, p. 1946-1961 16 p., 7355384.

Research output: Contribution to journalArticle

Pixels
Computational efficiency
Signal processing
Geometry
Experiments
5 Citations (Scopus)

Convex-Optimization-Based Compartmental Pharmacokinetic Analysis for Prostate Tumor Characterization Using DCE-MRI

Ambikapathi, A., Chan, T. H., Lin, C. H., Yang, F. S., Chi, C. Y. & Wang, Y., 2016 Apr, In : IEEE Transactions on Biomedical Engineering. 63, 4, p. 707-720 14 p., 7208828.

Research output: Contribution to journalArticle

Pharmacokinetics
Convex optimization
Magnetic resonance
Tumors
Imaging techniques
2015
3 Citations (Scopus)

A fast hyperplane-based MVES algorithm for hyperspectral unmixing

Lin, C-H., Chi, C. Y., Wang, Y. H. & Chan, T. H., 2015 Aug 4, 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1384-1388 5 p. 7178197. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2015-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pixels
Computational efficiency
Computational complexity
Signal processing
Hyperspectral imaging
31 Citations (Scopus)

Identifiability of the Simplex Volume Minimization Criterion for Blind Hyperspectral Unmixing: The No-Pure-Pixel Case

Lin, C. H., Ma, W. K., Li, W. C., Chi, C. Y. & Ambikapathi, A. M., 2015 Oct 1, In : IEEE Transactions on Geoscience and Remote Sensing. 53, 10, p. 5530-5546 17 p., 7107995.

Research output: Contribution to journalArticle

pixel
Pixels
Computer simulation
simulation

When can the minimum volume enclosing simplex identify the endmembers correctly when there is no pure pixel?

Ma, W. K., Lin, C. H., Li, W. C. & Chi, C. Y., 2015 Jul 2, 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2015. IEEE Computer Society, 8075410. (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing; vol. 2015-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pixels
Signal to noise ratio
Computer simulation
2013
4 Citations (Scopus)

Convex geometry based outlier-insensitive estimation of number of endmembers in hyperspectral images

Ambikapathi, A., Chan, T. H., Lin, C. H. & Chi, C. Y., 2013 Jun 28, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2013. IEEE Computer Society, 8080734. (Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing; vol. 2013-June).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Geometry
Pixels
Computer simulation
8 Citations (Scopus)

On the endmember identifiability of Craig's criterion for hyperspectral unmixing: A statistical analysis for three-source case

Lin, C-H., Ambikapathi, A. M., Li, W. C. & Chi, C. Y., 2013 Oct 18, 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings. p. 2139-2143 5 p. 6638032. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Statistical methods
Pixels