most citedSingle-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification

330 citations · 601 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025★ 12 cited

SpectralX: Parameter-efficient Domain Generalization for Spectral Remote Sensing Foundation Models

Yuxiang Zhang, Wei Li, Mengmeng Zhang +3

Recent advances in Remote Sensing Foundation Models (RSFMs) have led to significant breakthroughs in the field. While many RSFMs have been pretrained with massive optical imagery,…

cs.CV2022★ 151 cited

Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification

Yuxiang Zhang, Mengmeng Zhang, Wei Li +2

Text information including extensive prior knowledge about land cover classes has been ignored in hyperspectral image classification (HSI) tasks. It is necessary to explore the eff…

cs.CV2022★ 330 cited

Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification

Yuxiang Zhang, Wei Li, Weidong Sun +2

Currently, cross-scene hyperspectral image (HSI) classification has drawn increasing attention. It is necessary to train a model only on source domain (SD) and directly transferrin…

cs.CV2022★ 29 cited

Task-wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images

Zhanchao Huang, Wei Li, Xiang-Gen Xia +2

Arbitrary-oriented object detection (AOOD) has been widely applied to locate and classify objects with diverse orientations in remote sensing images. However, the inconsistent feat…

cs.CV2022

MPANet: Multi-Patch Attention For Infrared Small Target object Detection

Ao Wang, Wei Li, Xin Wu +2

Infrared small target detection (ISTD) has attracted widespread attention and been applied in various fields. Due to the small size of infrared targets and the noise interference f…

eess.IV2022★ 79 cited

MS-HLMO: Multi-scale Histogram of Local Main Orientation for Remote Sensing Image Registration

Chenzhong Gao, Wei Li, Ran Tao +1

Multi-source image registration is challenging due to intensity, rotation, and scale differences among the images. Considering the characteristics and differences of multi-source r…