124 citations · 144 across the 5 of their papers we have counts for
5 papers
High Spectral Spatial Resolution Synthetic HyperSpectral Dataset form multi-source fusion
Yajie Sun, Ali Zia, Jun Zhou
This research paper introduces a synthetic hyperspectral dataset that combines high spectral and spatial resolution imaging to achieve a comprehensive, accurate, and detailed repre…
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching
Youmin Zhang, Yimin Chen, Xiao Bai +4
State-of-the-art deep learning based stereo matching approaches treat disparity estimation as a regression problem, where loss function is directly defined on true disparities and…
Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter
Kun Qian, Jun Zhou, Fengchao Xiong +2
Target tracking in hyperspectral videos is a new research topic. In this paper, a novel method based on convolutional network and Kernelized Correlation Filter (KCF) framework is p…
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew +3
Image segmentation is considered to be one of the critical tasks in hyperspectral remote sensing image processing. Recently, convolutional neural network (CNN) has established itse…
On the Sampling Strategy for Evaluation of Spectral-spatial Methods in Hyperspectral Image Classification
Jie Liang, Jun Zhou, Yuntao Qian +3
Spectral-spatial processing has been increasingly explored in remote sensing hyperspectral image classification. While extensive studies have focused on developing methods to impro…