10 citations · 12 across the 8 of their papers we have counts for
5 papers · 1 filter
Sparse Representation-Based Classification: Orthogonal Least Squares or Orthogonal Matching Pursuit?
Minshan Cui, Saurabh Prasad
Spare representation of signals has received significant attention in recent years. Based on these developments, a sparse representation-based classification (SRC) has been propose…
Composite Kernel Local Angular Discriminant Analysis for Multi-Sensor Geospatial Image Analysis
Saurabh Prasad, Minshan Cui, Lifeng Yan
With the emergence of passive and active optical sensors available for geospatial imaging, information fusion across sensors is becoming ever more important. An important aspect of…
Person Re-identification with Hyperspectral Multi-Camera Systems --- A Pilot Study
Saurabh Prasad, Tanu Priya, Minshan Cui +1
Person re-identification in a multi-camera environment is an important part of modern surveillance systems. Person re-identification from color images has been the focus of much ac…
Spatial Context based Angular Information Preserving Projection for Hyperspectral Image Classification
Minshan Cui, Saurabh Prasad
Dimensionality reduction is a crucial preprocessing for hyperspectral data analysis - finding an appropriate subspace is often required for subsequent image classification. In rece…
An approximate message passing approach for compressive hyperspectral imaging using a simultaneous low-rank and joint-sparsity prior
Yangqing Li, Saurabh Prasad, Wei Chen +2
This paper considers a compressive sensing (CS) approach for hyperspectral data acquisition, which results in a practical compression ratio substantially higher than the state-of-t…