228 citations · 264 across the 6 of their papers we have counts for
6 papers
Pansharpening for Thin-Cloud Contaminated Remote Sensing Images: A Unified Framework and Benchmark Dataset
Songcheng Du, Yang Zou, Jiaxin Li +4
Pansharpening under thin cloudy conditions is a practically significant yet rarely addressed task, challenged by simultaneous spatial resolution degradation and cloud-induced spect…
Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decoupling
Songcheng Du, Yang Zou, Zixu Wang +4
Fusion-based hyperspectral image super-resolution aims to fuse low-resolution hyperspectral images (LR-HSIs) and high-resolution multispectral images (HR-MSIs) to reconstruct high…
HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models
Chanyue Wu, Dong Wang, Hanyu Mao +1
Despite the proven significance of hyperspectral images (HSIs) in performing various computer vision tasks, its potential is adversely affected by the low-resolution (LR) property…
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network
Xizhe Xue, Ying Li, Xiaoyue Yin +1
Discriminative correlation filters (DCF) and siamese networks have achieved promising performance on visual tracking tasks thanks to their superior computational efficiency and rel…
Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning
Haokui Zhang, Ying Li, Yenan Jiang +3
Recently, hyperspectral image (HSI) classification approaches based on deep learning (DL) models have been proposed and shown promising performance. However, because of very limite…
Robust Correlation Tracking via Multi-channel Fused Features and Reliable Response Map
Xizhe Xue, Ying Li, Qiang Shen
Benefiting from its ability to efficiently learn how an object is changing, correlation filters have recently demonstrated excellent performance for rapidly tracking objects. Desig…