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Marcus Chen
Marcus Chen
Stanford
Verified email at stanfordalumni.org - Homepage
Title
Cited by
Cited by
Year
Shadow detection in very high spatial resolution aerial images: A comparative study
KRM Adeline, M Chen, X Briottet, SK Pang, N Paparoditis
ISPRS Journal of Photogrammetry and Remote Sensing 80, 21-38, 2013
2102013
Multiband image fusion based on spectral unmixing
Q Wei, J Bioucas-Dias, N Dobigeon, JY Tourneret, M Chen, S Godsill
IEEE Transactions on Geoscience and Remote Sensing 54 (12), 7236-7249, 2016
1232016
Unsupervised nonlinear spectral unmixing based on a multilinear mixing model
Q Wei, M Chen, JY Tourneret, S Godsill
IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4534-4544, 2017
322017
A unified feature selection framework for graph embedding on high dimensional data
M Chen, IW Tsang, M Tan, TJ Cham
IEEE Transactions on Knowledge and Data Engineering 27 (6), 1465-1477, 2014
242014
Visual tracking with generative template model based on riemannian manifold of covariances
M Chen, SK Pang, TJ Cham, A Goh
14th International Conference on Information Fusion, 1-8, 2011
192011
Comparative analysis of covariance matrix estimation for anomaly detection in hyperspectral images
S Velasco-Forero, M Chen, A Goh, SK Pang
IEEE journal of selected topics in signal processing 9 (6), 1061-1073, 2015
132015
Objects Co-segmentation: Propagated From Simpler Images
M Chen, S Velasco-Forero, I Tsang, TJ Cham
40th IEEE International Conference on Acoustics, Speech and Signal …, 2015
132015
Detection and Recognition of Alert Traffic Signs
CH Chen, M Chen, T Gao
Publication of Stanford University, 2008
102008
Efficient Empirical Reflectance Retrieval in Urban Environments
M Chen, KLC Seow, X Briottet, SK Pang
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE …, 2013
72013
A comparative analysis of covariance matrix estimation in anomaly detection
S Velasco-Forero, M Chen, A Goh, KP Sze
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014
22014
Anomaly detection and important bands selection for hyperspectral images via sparse PCA
S Velasco-Forero, M Chen, A Goh, SK Pang
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014
12014
A Diffusion Process on Riemannian Manifold for Visual Tracking
M Chen, CT Jen, PS Kim, A Goh
arXiv preprint arXiv:1303.5913, 2013
12013
A comparative study of deep learning methods for building footprints detection using high spatial resolution aerial images. arXiv 2021
H He, K Yang, Y Cai, Z Jiang, Q Yu, K Zhao, J Wang, SN Fatholahi, Y Liu, ...
arXiv preprint arXiv:2103.09300, 0
1
Estimation for Anomaly Detection in Hyperspectral Images
S Velasco-forero, M Chen, A Goh, SK Pang, S Velasco-forero, M Chen, ...
2015
Efficient learning methods for high dimensional visual data
M Chen
Nanyang Technological University, 2015
2015
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Articles 1–15