papers

Publications (18)

cs.CV2026

An Enhanced Geometric-Spectral Feature Learning Framework for Airborne Multispectral Point Cloud Classification

Xian Li, Yanfeng, Yanfeng Gu +3

Multispectral point cloud (MPC) is composed of 3D spatial-spectral information, which holds tremendous potential for accurate land-cover classification. However, the representation…

cs.CV2025

EarthMapper: Visual Autoregressive Models for Controllable Bidirectional Satellite-Map Translation

Zhe Dong, Yuzhe Sun, Tianzhu Liu +2

Satellite imagery and maps, as two fundamental data modalities in remote sensing, offer direct observations of the Earth's surface and human-interpretable geographic abstractions,…

cs.LG2026

Sub-Footprint Effect Correction in FW-LiDAR Point Clouds via Intra-Footprint Target Unmixing

Zhen Xiao, Yanfeng Gu, Xian Li

Sub-footprint target mixing within a laser footprint significantly increases LiDAR intensity uncertainty, especially in complex environments where heterogeneous materials inside on…

cs.CV2026

ReLATE: Reliability-Guided Evidence Fusion for Robust UAV--Satellite cross-view Geo-Localization

Haochen Jiang, Jialei Pan, Yuzhe Sun +4

The paper introduces UAVSat-Deg, a large benchmark for evaluating UAV‑to‑satellite geo‑localization under various image degradations, and proposes ReLATE, a reliability‑guided feat…

#geo-localization#cross-view matching#uav#satellite imagery
cs.CV2025

Pillar-Voxel Fusion Network for 3D Object Detection in Airborne Hyperspectral Point Clouds

Yanze Jiang, Yanfeng Gu, Xian Li

Hyperspectral point clouds (HPCs) can simultaneously characterize 3D spatial and spectral information of ground objects, offering excellent 3D perception and target recognition cap…

cs.CV2026

CroBIM-U: Uncertainty-Driven Referring Remote Sensing Image Segmentation

Yuzhe Sun, Zhe Dong, Haochen Jiang +2

Referring remote sensing image segmentation aims to localize specific targets described by natural language within complex overhead imagery. However, due to extreme scale variation…

cs.CV2026

HieraRS: A Hierarchical Segmentation Paradigm for Remote Sensing Enabling Multi-Granularity Interpretation and Cross-Domain Transfer

Tianlong Ai, Tianzhu Liu, Haochen Jiang +1

Hierarchical land cover and land use (LCLU) classification aims to assign pixel-wise labels with multiple levels of semantic granularity to remote sensing (RS) imagery. However, ex…

cs.CV2025

DiffRIS: Enhancing Referring Remote Sensing Image Segmentation with Pre-trained Text-to-Image Diffusion Models

Zhe Dong, Yuzhe Sun, Tianzhu Liu +1

Referring remote sensing image segmentation (RRSIS) enables the precise delineation of regions within remote sensing imagery through natural language descriptions, serving critical…

cs.CV2025

Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image Segmentation

Zhe Dong, Yuzhe Sun, Tianzhu Liu +2

Given a natural language expression and a remote sensing image, the goal of referring remote sensing image segmentation (RRSIS) is to generate a pixel-level mask of the target obje…

cs.CV2026

Learn Temporal Consistency For Robust Satellite Video Detector

Weilong Guo, Shengyang Li, Yanfeng Gu

Satellite video object detection (SVOD) for oriented and fine-grained objects plays an important role in satellite applications. Most existing SVOD methods only focus on one or a f…

cs.CV2025

Zoom-Refine: Boosting High-Resolution Multimodal Understanding via Localized Zoom and Self-Refinement

Xuan Yu, Dayan Guan, Yanfeng Gu

Multimodal Large Language Models (MLLM) often struggle to interpret high-resolution images accurately, where fine-grained details are crucial for complex visual understanding. We i…

cs.CV2026

CAMF-Det: Closure-Aware Multimodal Fusion for LiDAR-Camera 3D Object Detection on UAV Platforms

Yanze Jiang, Yanfeng Gu, Xian Li

Multimodal 3D object detection based on LiDAR and cameras has demonstrated excellent performance in ground-vehicle scenarios, but has not been explored for Unmanned Aerial Vehicle…

cs.CV2025

LPRnet: A self-supervised registration network for LiDAR and photogrammetric point clouds

Chen Wang, Yanfeng Gu, Xian Li

LiDAR and photogrammetry are active and passive remote sensing techniques for point cloud acquisition, respectively, offering complementary advantages and heterogeneous. Due to the…

cs.CV2024

Rethinking the Evaluation of Visible and Infrared Image Fusion

Dayan Guan, Yixuan Wu, Tianzhu Liu +2

Visible and Infrared Image Fusion (VIF) has garnered significant interest across a wide range of high-level vision tasks, such as object detection and semantic segmentation. Howeve…

cs.CV2026

PF-Trans: Physics-Embedded Frequency-Aware Transformer for Spectral Reconstruction

Yuzhe Gui, Tianzhu Liu, Yanfeng Gu +1

Snapshot Broadband Filter Array (BFA) imaging provides high light throughput for spectral reconstruction but introduces severe spectral aliasing due to complex modulation. Current…

cs.CV2026

Illumination-Invariant Anomaly Detection for Sub-Canopy UAV Multispectral Point Clouds

Likun Chen, Yanfeng Gu, Xian Li

Unmanned Aerial Vehicle (UAV) multispectral point clouds (MPC) provide high-dimensional spatial-spectral data for sub-canopy target detection; however, their efficacy is significan…

cs.CV2026

TV Subgradient-Guided Multi-Source Fusion for Spectral Imaging in Dual-Camera CASSI Systems

Weiqiang Zhao, Tianzhu Liu, Yuzhe Gui +2

Balancing spectral, spatial, and temporal resolutions is a key challenge in spectral imaging. The Dual-Camera Coded Aperture Snapshot Spectral Imaging (DC-CASSI) system alleviates…

cs.CV2025

PhyDAE: Physics-Guided Degradation-Adaptive Experts for All-in-One Remote Sensing Image Restoration

Zhe Dong, Yuzhe Sun, Haochen Jiang +2

Remote sensing images inevitably suffer from various degradation factors during acquisition, including atmospheric interference, sensor limitations, and imaging conditions. These c…