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MINH DAO
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Name
Affiliation
Papers
MINH DAO
Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA
24
Collaborators
Citations
PageRank
41
121
11.14
Referers
Referees
References
212
468
300
Search Limit
100
468
Publications (24 rows)
Collaborators (41 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
A Joint Sparsity Approach to Soil Detection Using Expanded Bands of WV-2 Images
0
0.34
2019
Deep Learning with Synthetic Hyperspectral Images for Improved Soil Detection in Multispectral Imagery
1
0.36
2018
Mastcam image enhancement using estimated point spread functions
4
0.46
2017
Deep learning for effective detection of excavated soil related to illegal tunnel activities
6
0.52
2017
Enhancing Mastcam Images for Mars Rover Mission.
11
0.75
2017
A Novel Utilization of Image Registration Techniques to Process Mastcam Images in Mars Rover With Applications to Image Fusion, Pixel Clustering, and Anomaly Detection.
13
0.73
2017
New sparsity based pansharpening algorithms for hyperspectral images
3
0.41
2017
A joint sparsity approach to tunnel activity monitoring using high resolution satellite images
9
0.68
2017
Detecting Burnscar from Hyperspectral Imagery via Sparse Representation with Low-Rank Interference.
0
0.34
2016
Burn scar detection using cloudy MODIS images via low-rank and sparsity-based models
0
0.34
2016
Multi-Sensor Classification Via Sparsity-Based Representation With Low-Rank Interference
0
0.34
2015
Structured sparse priors for image classification
12
0.54
2015
Multi-task image classification via collaborative, hierarchical spike-and-slab priors
14
0.60
2015
Group structured dirty dictionary learning for classification
4
0.40
2014
Structured Dictionary Learning for Classification.
5
0.41
2014
Collaborative Multi-Sensor Classification Via Sparsity-Based Representation.
9
0.52
2014
Hierarchical Sparse And Collaborative Low-Rank Representation For Emotion Recognition
1
0.35
2014
Structured sparse representation with low-rank interference
3
0.41
2014
Video frame interpolation via weighted robust principal component analysis
3
0.45
2013
Temporal rate up-conversion of synthetic aperture radar via low-rank matrix recovery
3
0.39
2013
Hierarchical sparse modeling using Spike and Slab priors
9
0.49
2013
Real Time Compressive Sensing Video Reconstruction in Hardware.
6
0.48
2012
Error Concealment Via 3-Mode Tensor Approximation
4
0.48
2011
Video error concealment using sparse recovery and local dictionaries.
1
0.37
2011
1