activity
20162024
most citedMultiple Instance Hybrid Estimator for Learning Target Signatures

1 citations · 5 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20241 cited

Cost-efficient Active Illumination Camera For Hyper-spectral Reconstruction

Yuxuan Zhang, T. M. Sazzad, Yangyang Song +12

Hyper-spectral imaging has recently gained increasing attention for use in different applications, including agricultural investigation, ground tracking, remote sensing and many ot…

cs.CV20211 cited

Image-to-Height Domain Translation for Synthetic Aperture Sonar

Dylan Stewart, Shawn Johnson, Alina Zare

Observations of seabed texture with synthetic aperture sonar are dependent upon several factors. In this work, we focus on collection geometry with respect to isotropic and anisotr…

cs.CV20171 cited

Multiple Instance Hybrid Estimator for Learning Target Signatures

Changzhe Jiao, Alina Zare

Signature-based detectors for hyperspectral target detection rely on knowing the specific target signature in advance. However, target signature are often difficult or impossible t…

cs.CV2017

Map-guided Hyperspectral Image Superpixel Segmentation Using Proportion Maps

Hao Sun, Alina Zare

A map-guided superpixel segmentation method for hyperspectral imagery is developed and introduced. The proposed approach develops a hyperspectral-appropriate version of the SLIC su…

cs.CV20161 cited

Partial Membership Latent Dirichlet Allocation

Chao Chen, Alina Zare, Huy Trinh +3

Topic models (e.g., pLSA, LDA, sLDA) have been widely used for segmenting imagery. However, these models are confined to crisp segmentation, forcing a visual word (i.e., an image p…

cs.CV20161 cited

Hyperspectral Unmixing with Endmember Variability using Partial Membership Latent Dirichlet Allocation

Sheng Zou, Alina Zare

The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a h…