1 citations · 1 across the 13 of their papers we have counts for
14 papers
FUSAR-R1: A Large-Scale Reasoning Model for Intelligent Interpretation of SAR Images
Yi Yang, Xiaokun Zhang, Yuxuan Li +3
In recent years, large-scale vision-language models have been driving a paradigm shift in intelligent remote sensing image interpretation. By incorporating textual semantic informa…
SFKD: Spatial--Frequency Joint-Aware Heterogeneous Knowledge Distillation via Multi-Level Wavelet Spectral Interaction
Cuipeng Wang, Haipeng Wang
Most existing knowledge distillation methods focus on homogeneous models (e.g., CNN-to-CNN), thereby overlooking the flexibility and potential of knowledge transfer across heteroge…
PASTE: Physics-Aware Scattering Topology Embedding Framework for SAR Object Detection
Jiacheng Chen, Yuxuan Xiong, Haipeng Wang
Current deep learning-based object detection for Synthetic Aperture Radar (SAR) imagery mainly adopts optical image methods, treating targets as texture patches while ignoring inhe…
CrossEarth-SAR: A SAR-Centric and Billion-Scale Geospatial Foundation Model for Domain Generalizable Semantic Segmentation
Ziqi Ye, Ziyang Gong, Ning Liao +10
Synthetic Aperture Radar (SAR) enables global, all-weather earth observation. However, owing to diverse imaging mechanisms, domain shifts across sensors and regions severely hinder…
FUSAR-GPT : A Spatiotemporal Feature-Embedded and Two-Stage Decoupled Visual Language Model for SAR Imagery
Xiaokun Zhang, Yi Yang, Ziqi Ye +6
Research on the intelligent interpretation of all-weather, all-time Synthetic Aperture Radar (SAR) is crucial for advancing remote sensing applications. In recent years, although V…
FUSAR-KLIP: Towards Multimodal Foundation Models for Remote Sensing
Yi Yang, Xiaokun Zhang, Qingchen Fang +5
Cross-modal artificial intelligence, represented by visual language models, has achieved significant success in general image understanding. However, a fundamental cognitive incons…
Object Fidelity Diffusion for Remote Sensing Image Generation
Ziqi Ye, Shuran Ma, Jie Yang +5
High-precision controllable remote sensing image generation is both meaningful and challenging. Existing diffusion models often produce low-fidelity images due to their inability t…
SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation
Zhiming Ma, Xiayang Xiao, Sihao Dong +3
As a powerful all-weather Earth observation tool, synthetic aperture radar (SAR) remote sensing enables critical military reconnaissance, maritime surveillance, and infrastructure…
When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image Classification
Weilian Zhou, Weixuan Xie, Sei-ichiro Kamata +4
Hyperspectral image (HSI) classification is a cornerstone of remote sensing, enabling precise material and land-cover identification through rich spectral information. While deep l…
Contrastive Representation Distillation via Multi-Scale Feature Decoupling
Cuipeng Wang, Haipeng Wang
Knowledge distillation enhances the performance of compact student networks by transferring knowledge from more powerful teacher networks without introducing additional parameters.…
Electromagnetic Scattering Kernel Guided Reciprocal Point Learning for SAR Open-Set Recognition
Xiayang Xiao, Zhuoxuan Li, Ruyi Zhang +2
The limitations of existing Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) methods lie in their confinement by the closed-environment assumption, hindering their…
OSAD: Open-Set Aircraft Detection in SAR Images
Xiayang Xiao, Zhuoxuan Li, Haipeng Wang
Current mainstream SAR image object detection methods still lack robustness when dealing with unknown objects in open environments. Open-set detection aims to enable detectors trai…
EMWaveNet: Physically Explainable Neural Network Based on Electromagnetic Propagation for SAR Target Recognition
Zhuoxuan Li, Xu Zhang, Shumeng Yu +1
Deep learning technologies have significantly improved performance in the field of synthetic aperture radar (SAR) image target recognition compared to traditional methods. However,…
Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image Classification
Weilian Zhou, Sei-Ichiro Kamata, Haipeng Wang +3
Hyperspectral image (HSI) classification is pivotal in the remote sensing (RS) field, particularly with the advancement of deep learning techniques. Sequential models, adapted from…