output
20232025
most citedDual-Branch Subpixel-Guided Network for Hyperspectral Image Classification

56 citations

5 papers

cs.CV2025

APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds

Yuan Gao, Shaobo Xia, Sheng Nie +3

Airborne laser scanning (ALS) point cloud semantic segmentation is a fundamental task for large-scale 3D scene understanding. Fixed models deployed in real-world scenarios often su…

cs.CV2025★ 2 cited

LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives

Yuan Gao, Shaobo Xia, Pu Wang +3

Light detection and ranging (LiDAR) remote sensing encompasses two major directions: data interpretation and parameter inversion. However, both directions rely heavily on costly an…

eess.IV2024★ 56 cited

Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification

Zhu Han, Jin Yang, Lianru Gao +3

Deep learning (DL) has been widely applied into hyperspectral image (HSI) classification owing to its promising feature learning and representation capabilities. However, limited b…

cs.CV2024★ 7 cited

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…

eess.IV2023★ 10 cited

Reconstructing Three-decade Global Fine-Grained Nighttime Light Observations by a New Super-Resolution Framework

Jinyu Guo, Feng Zhang, Hang Zhao +2

Satellite-collected nighttime light provides a unique perspective on human activities, including urbanization, population growth, and epidemics. Yet, long-term and fine-grained nig…