activity
20142017
most citedStructured Priors for Sparse-Representation-Based Hyperspectral Image Classification

125 citations · 184 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2017★ 2 cited

Supervised Deep Sparse Coding Networks

Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran

In this paper, we describe the deep sparse coding network (SCN), a novel deep network that encodes intermediate representations with nonnegative sparse coding. The SCN is built upo…

cs.CV2015

Sparse Coding with Fast Image Alignment via Large Displacement Optical Flow

Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran

Sparse representation-based classifiers have shown outstanding accuracy and robustness in image classification tasks even with the presence of intense noise and occlusion. However,…

cs.CV2015

Unsupervised domain adaption dictionary learning for visual recognition

Zhun Zhong, Zongmin Li, Runlin Li +1

Over the last years, dictionary learning method has been extensively applied to deal with various computer vision recognition applications, and produced state-of-the-art results. H…

cs.CV2015★ 57 cited

Task-Driven Dictionary Learning for Hyperspectral Image Classification with Structured Sparsity Constraints

Xiaoxia Sun, Nasser M. Nasrabadi, Trac D. Tran

Sparse representation models a signal as a linear combination of a small number of dictionary atoms. As a generative model, it requires the dictionary to be highly redundant in ord…

cs.CV2014★ 125 cited

Structured Priors for Sparse-Representation-Based Hyperspectral Image Classification

Xiaoxia Sun, Qing Qu, Nasser M. Nasrabadi +1

Pixel-wise classification, where each pixel is assigned to a predefined class, is one of the most important procedures in hyperspectral image (HSI) analysis. By representing a test…