activity
20162020
most citedUnsupervised Pansharpening Based on Self-Attention Mechanism

101 citations · 183 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2020★ 5 cited

A high performance approach to detecting small targets in long range low quality infrared videos

Chiman Kwan, Bence Budavari

Since targets are small in long range infrared (IR) videos, it is challenging to accurately detect targets in those videos. In this paper, we propose a high performance approach to…

cs.CV2020★ 101 cited

Unsupervised Pansharpening Based on Self-Attention Mechanism

Ying Qu, Razieh Kaviani Baghbaderani, Hairong Qi +1

Pansharpening is to fuse a multispectral image (MSI) of low-spatial-resolution (LR) but rich spectral characteristics with a panchromatic image (PAN) of high-spatial-resolution (HR…

astro-ph.SR2020★ 6 cited

A New Approach to Solar Flare Prediction

Michael L. Goodman, Chiman Kwan, Bulent Ayhan +1

All three components of the current density are required to compute the heating rate due to free magnetic energy dissipation. Here we present a first test of a new model developed…

cs.CV2019★ 65 cited

Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net

Ying Qu, Hairong Qi, Chiman Kwan +2

Hyperspectral images (HSI) provide rich spectral information that contributed to the successful performance improvement of numerous computer vision tasks. However, it can only be a…

cs.CV2018★ 6 cited

Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolution

Ying Qu, Hairong Qi, Chiman Kwan

In many computer vision applications, obtaining images of high resolution in both the spatial and spectral domains are equally important. However, due to hardware limitations, one…

cs.CV2016

Detecting Burnscar from Hyperspectral Imagery via Sparse Representation with Low-Rank Interference

Minh Dao, Xiang Xiang, Bulent Ayhan +2

In this paper, we propose a burnscar detection model for hyperspectral imaging (HSI) data. The proposed model contains two-processing steps in which the first step separate and the…