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20162026
most citedAdvances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios

10 citations · 12 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023★ 1 cited

Anomaly Detection in Satellite Videos using Diffusion Models

Akash Awasthi, Son Ly, Jaer Nizam +7

The definition of anomaly detection is the identification of an unexpected event. Real-time detection of extreme events such as wildfires, cyclones, or floods using satellite data…

cs.CV2020★ 10 cited

Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios

Xiong Zhou, Saurabh Prasad

Deep neural networks have proven to be very effective for computer vision tasks, such as image classification, object detection, and semantic segmentation -- these are primarily ap…

cs.CV2016

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…

cs.CV2016★ 1 cited

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…

cs.CV2016

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…

cs.CV2016

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…