activity
20202024
most citedMore Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification

1.4k citations · 2k across the 8 of their papers we have counts for

collaborators

10 papers

cs.CV2024

ARSGaussian: 3D Gaussian Splatting with LiDAR for Aerial Remote Sensing Novel View Synthesis

Yiling Yao, Bing Zhang, Wenjuan Zhang +5

Novel View Synthesis (NVS) can reconstruct scenes from multi-view images and synthesize novel images from new viewpoints, which provides technical support for tasks such as target…

cs.CV2024

Hyperspectral Image Cross-Domain Object Detection Method based on Spectral-Spatial Feature Alignment

Hongqi Zhang, He Sun, Hongmin Gao +4

With consecutive bands in a wide range of wavelengths, hyperspectral images (HSI) have provided a unique tool for object detection task. However, existing HSI object detection meth…

cs.CV2022

Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review

Minghua Wang, Danfeng Hong, Zhu Han +5

Owing to the rapid development of sensor technology, hyperspectral (HS) remote sensing (RS) imaging has provided a significant amount of spatial and spectral information for the ob…

cs.CV20222 cited

Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review

Jiaxin Li, Danfeng Hong, Lianru Gao +4

With the extremely rapid advances in remote sensing (RS) technology, a great quantity of Earth observation (EO) data featuring considerable and complicated heterogeneity is readily…

eess.IV2021

Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing

Danfeng Hong, Lianru Gao, Jing Yao +4

Over the past decades, enormous efforts have been made to improve the performance of linear or nonlinear mixing models for hyperspectral unmixing, yet their ability to simultaneous…

eess.IV2021217 cited

Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations

Lina Zhuang, Lianru Gao, Bing Zhang +2

Hyperspectral imaging measures the amount of electromagnetic energy across the instantaneous field of view at a very high resolution in hundreds or thousands of spectral channels.…